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Guidelines
2026
:13;
9
doi:
10.25259/FSR_66_2025

Evidence-Based Guidelines for Management of Poor Ovarian Response in Assisted Reproduction

Department of Reproductive Medicine, Akanksha IVF Centre, Mata Chanan Devi Hospital, New Delhi, India
Department of IVF and Reproductive Medicine Centre, Max Group of Superspeciality Hospital, New Delhi, India
Department of Reproductive Medicine and Gynaecology, Fortis Ridge Fertility and IVF, New Delhi, India
Department of Obstetrics & Gynaecology, AIIMS, Uttarakhand, India
Department of Assisted Reproduction and Genetics, Jaslok FertilTree International Fertility Centre, Mumbai, Maharashtra, India
Department of Obstetrics & Gynaecology, VMMC & Safdarjung Hospital, New Delhi, India
Department of Reproductive Medicine and Surgery, Employees’ State Insurance Corporation Post Graduate Institute of Medical Science and Research, New Delhi, India
Department of Obstetrics & Gynaecology, Lady Hardinge Medical College, New Delhi, India
Department of Reproductive Medicine and Surgery, Sri Ramachandra Medical College & Research Institute, Chennai, India
Department of Obstetrics & Gynaecology, AIIMS, New Delhi, India
Centre of IVF and Human Reproduction, Sir Ganga Ram Hospital, New Delhi, India
Department of Reproductive Medicine & IVF, Sushrut Assisted Conception Clinic and Shreyas Multispeciality Hospital, Kolhapur, Maharashtra, India
Department of IVF, i-Ceat, i-Consult, i-HOMaa and Training Academy, New Delhi, India
Department of Obstetrics & Gynaecology, Maulana Azad Medical College, New Delhi, India
Department of IVF, Apollo Fertility, Hyderabad, Telangana, India
Department of IVF, Yaami Fertility & IVF Centre, Indore, Madhya Pradesh, India
Department of Clinical Embryology, Centre of Excellence in Clinical Embryology, Kasturba Medical College, Manipal, Karnataka, India
Department of IVF, SNH Fertility and Endoscopic Centre, Nellore, Andhra Pradesh, India
Department of Infertility and Reproductive Medicine, Cloudnine Hospital, Bengaluru, Karnataka, India
Department of IVF, Jindal IVF and Sant Memorial Nursing Home, Chandigarh, India,
Department of Clinical operation & research, Mitopower Inc., Palo Alto, California, United States.

*Corresponding author: Kanad Dev Nayar MD, DGO, Dip. Obst. (Ireland), FICOG Senior Consultant & Head, Department of Reproductive Medicine, Akanksha IVF Centre, Mata Chanan Devi Hospital, Janakpuri, New Delhi, 110058, India kdnayar@usa.net

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Nayar KD, Ghumman S, Sethi A, Bahadur A, Parikh F, Kapoor G, et al. Evidence-Based Guidelines for Management of Poor Ovarian Response in Assisted Reproduction. Fertil Sci Res. 2026;13:9. doi: 10.25259/FSR_66_2025

Abstract

Poor ovarian response (POR) poses a major and increasing challenge in assisted reproductive technology (ART), often leading to reduced oocyte yield and increased cycle cancellations. Despite numerous treatment strategies, there remains a lack of agreement on the best strategy. To fill this void, the Indian Fertility Society (IFS) developed evidence-based good practice recommendations (EGPRs) to guide clinicians in the diagnosis and management of POR. A multidisciplinary Guideline Development Group (GDG) was constituted by IFS. Using the PICO (population, intervention, comparator, outcome) framework, the GDG conducted a comprehensive literature search across multiple databases up to October 2023. Relevant studies were evaluated for efficacy, safety, and patient-centred outcomes. The GRADE (grading of recommendations, assessment, development, and evaluations) methodology was employed to assess the quality of evidence and develop recommendations. Recommendations were formulated based on evidence certainty, benefit-harm balance, feasibility, stakeholder values, and resource use. The guideline comprises 45 EGPRs addressing 37 key clinical questions. Among these, 44 are evidence-based recommendations (32 strong, 12 conditional), and 1 is a good practice point (GPP). Of the 44 evidence-based recommendations, only one recommendation is supported by high-quality, robust data, 6 on moderate-quality, while the majority depend on low (25) to very-low quality (8) evidence, highlighting the urgent need for further, more rigorous research in 4. The current guidelines offer a structured, patient-focused approach to managing POR in ART. They provide clinically relevant, actionable recommendations while highlighting gaps for future investigation.

Keywords

Assisted reproductive technology
Clinical pregnancy rate
Diminished ovarian reserve
IFS guidelines
Poor ovarian response

INTRODUCTION

Controlled ovarian stimulation (COS) is indeed a critical determinant of success in assisted reproductive technology (ART), with the number of retrieved mature oocytes serving as a key prognostic marker for live birth rates (LBRs) in in vitro fertilisation (IVF)/intra cytoplasmic sperm injection (ICSI) cycles.[1,2] In a subset of women, poor ovarian response (POR) occurs when fewer than 3-5 follicles/oocytes are retrieved, leading to higher cancellation rates and reduced chances of conception, compromised embryo availability, and overall diminished ART success.[2] The prevalence of POR is reported to range between 9-24% among women undergoing ART, highlighting its significance in reproductive medicine.[3] Reports from the American Society for Reproductive Medicine (ASRM) and the Society for ART (SART) further highlight that POR contributes substantially to cycle cancellations, accounting for more than half of such cases. These statistics emphasise the burden POR places on patients and clinicians alike, both in terms of psychological distress and resource utilisation.[4.5]

Efforts to optimise outcomes in women with POR have led to the exploration of diversified clinical approaches. These include modifying ovarian stimulation protocols through individualised gonadotropin dosing, varying pituitary suppression regimens, and employing alternative approaches such as mild or dual stimulation cycles.[6,7] Adjunctive therapies, such as androgen supplementation, growth hormone administration, and antioxidant use, have also been investigated for their potential to enhance ovarian response or improve oocyte competence.[6] Preimplantation genetic testing for aneuploidy (PGT-A) is increasingly used in IVF to select embryos with the correct number of chromosomes (euploid embryos) for transfer, aiming to increase implantation rates and reduce miscarriages. While it offers significant benefits, particularly for women of advanced maternal age, its integration into IVF treatment adds substantial complexity, cost, and procedural, legal, and ethical challenges.[7]

Despite such advances, the management of POR remains challenging due to the intrinsic heterogeneity of the affected population. One of the fundamental issues has been the lack of uniform diagnostic guidelines. While the Bologna criteria provided a standardised definition, their clinical applicability has been limited by variability in patient characteristics and response profiles.[8] In recognition of this limitation, the POSEIDON (patient-oriented strategies encompassing individualised oocyte number) classification was launched in 2016.[9-12] This framework stratifies patients into subgroups based on age, ovarian reserve markers, and prior response to stimulation, thereby enabling more precise prognostication and the tailoring of individualised therapeutic strategies. Nevertheless, a universally accepted definition and management algorithm for POR continues to be lacking, leading to heterogeneity in clinical practice worldwide.[13] Although the availability of multiple stimulation protocols and adjunctive therapeutic strategies, none has been conclusively established as the universally optimal approach. Consequently, clinicians are often required to individualise treatment decisions based on patient characteristics and clinical judgment.[13,14] This emphasises the inherent complexity of managing POR and highlights the necessity for continued research, systematic evaluation, and consensus development to refine evidence-based practices in ART. Given these challenges, there is a pressing need for evidence-based, context-specific guidance to support clinicians in optimising treatment for women with POR. Recognising this gap, the Indian Fertility Society (IFS) initiated the development of structured, evidence-based guidelines. The primary aim of these guidelines is to synthesise current evidence and expert consensus into clear, pragmatic recommendations that can be applied in clinical practice. These guidelines address key aspects of POR, including diagnostic criteria, stimulation strategies, adjunctive therapies, and patient-centred outcome measures, while ensuring safety and feasibility. By providing a structured framework, the IFS guidelines are intended to harmonise practice patterns, enhance clinical decision-making, and ultimately improve reproductive outcomes for this challenging patient group.

MATERIAL AND METHODS

The IFS systematically developed evidence-based guidelines for the management of POR in ART. A panel of experts initiated the process by outlining the scope, key clinical questions, outcomes, and objectives. A multidisciplinary Guideline Development Group (GDG) was formed [Figure 1], and questions were framed using the PICO (population, intervention, comparator, outcome) approach. The key outcomes incorporated included measures of efficacy (e.g., cumulative LBR, miscarriage rate), safety (e.g., ovarian hyperstimulation syndrome [OHSS], multiple pregnancy), and patient-related outcomes (e.g., cycle cancellation rates, patient preferences).

Guideline Development Group
Figure 1: Guideline Development Group
PRISMA Flowchart
Figure 2: PRISMA Flowchart

A comprehensive literature search was performed across various databases such as PUBMED/MEDLINE, Cochrane Library, EMBASE, Web of Sciences, and Scopus databases, incorporating studies published up to October 2023. The search strategies were in accordance with the PICO framework and executed independently by two reviewers to ensure consistency using keywords. Eligible studies included meta-analyses, randomised controlled trials (RCTs), and observational studies, while case reports, non-English publications, and non-relevant study designs were excluded. Titles and abstracts underwent initial screening, followed by full-text reviews to assess relevance and evidence quality.

Quality of evidence was assessed by GDG by using ‘A Measurement Tool to Assess Systematic Reviews’ (AMSTAR)-2, and in RCTs and observational studies, a structured checklist was employed to evaluate biases (selection, performance, detection, and attrition). Evidence certainty was graded by using the GRADE (grading of recommendations, assessment, development, and evaluation) framework. The high (⊛⊛⊛⊛), moderate (⊛⊛⊛⊘), low (⊛⊛⊘⊘), or very low (⊛⊘⊘⊘)was based on study design, bias risk, effect size, and confounding factors. The evidence summaries for every question included the study design, population, comparators, interventions, outcomes, conclusions, quality assessment, and grading.

The evidence-based guidelines were formulated by the GDG using the GRADE methodology, which systematically assessed the strength and certainty of the available evidence. The process incorporated evaluation of the balance between benefits and potential harms, feasibility of implementation, acceptability to stakeholders, and resource considerations. Recommendations within the guidelines were categorised as either strong or conditional, reflecting both the quality of evidence and the consensus reached among GDG members and the stakeholders. Every recommendation had a detailed rationale that accounted for the trade-off between the desirable and undesirable effects, implications for health equity, and anticipated impact on resource utilisation.

The draft was presented to the IFS executive committee and then circulated for stakeholder review from February to May 2024, via the online platforms and also by direct invitations. Feedback was collated through the IFS website and by email, reviewed by GDG, and then incorporated into the final document, with a detailed summary recorded in the Stakeholder Review Report.

RESULTS

This developed guideline comprehensively addresses critical domains in the management of POR, with an emphasis on optimising ovarian stimulation, improving the clinical pregnancy rates (CPRs) and the live birth rates (LBRs), while also maintaining patient safety, adherence, and individualised treatment strategies. A total of 45 recommendations were developed in response to 37 predefined key PICO questions. Among these, 44 were evidence-based recommendations, out of which 32 were graded as strong recommendations and 12 as conditional recommendations, complemented by 1 good practice point (GPP).

With respect to the quality of evidence, 1 recommendation was supported by high-quality evidence, 6 were derived from moderate-quality evidence, 25 were based on low-quality evidence, 8 were informed by very low-quality evidence, and 4 lacked evidence with recommendations for further research in 4. This distribution suggests the existing evidence gaps in POR management and highlights the necessity for further high-quality studies in this field. The complete set of recommendations has been presented in [Table 1 and 2]. Additional supporting material, including detailed evidence profiles, rationale for recommendations, and the detailed version of these IFS guidelines, is accessible at: https://indianfertilitysociety.org/wp-content/uploads/2024/07/POR-guideline-print-version-2july24.pdf.

Table 1: Evidence-based Guideline Recommendations
Sr no. Key question Recommendation Strength Quality
Pre-stimulation management in poor responders
1 Does hormone testing at baseline have value in predicting POR? The use of AMH levels as a biomarker for predicting POR is recommended. Strong ⊛⊛⊘⊘
2 Does ultrasound imaging at baseline have value in predicting POR? Assessment of basal AFC through transvaginal ultrasonography (TVUS) is recommended for predicting POR. Strong ⊛⊛⊘⊘
3 Does genetic polymorphism testing have value in predicting POR? Routine genetic polymorphism testing is not recommended to predict POR. Strong ⊛⊛⊘⊘
4 Does immunological testing at baseline have value in predicting POR? There is insufficient data to make a recommendation for routine immunological testing at baseline to predict POR and recommend further research. Strong -
5 Does oestradiol pretreatment (priming) improve efficacy and safety of ovarian stimulation in poor responders? Routine pretreatment with oestrogen in the luteal phase (oestrogen priming) is not recommended for poor responders. Conditional ⊛⊛⊘⊘
6 Does pretreatment with oral contraceptive pills (OCP) improve efficacy and safety of ovarian stimulation in poor responders? OCP pretreatment is not recommended for improving live births in poor responders. Strong ⊛⊛⊘⊘
7 Does the gonadotropin-releasing hormone (GnRH) antagonist delayed start protocol improve the efficacy and safety of ovarian stimulation in poor responders compared to the conventional antagonist protocol? Routine use of the GnRH antagonist delayed start protocol is not recommended for poor responders. Conditional ⊛⊛⊘⊘
8 Does antioxidant pretreatment improve the efficacy and safety of ovarian stimulation in poor responders? Pretreatment with antioxidants is not recommended for poor responders due to a lack of evidence. Conditional ⊛⊛⊘⊘
9 Does alternative medicine-based therapy improve efficacy and patient-related outcomes in poor responders? There is insufficient data to make a recommendation for alternative medicine-based therapy for poor responders, and further research is recommended. Strong -
10 Do lifestyle-based therapies improve efficacy and patient-related outcomes in poor responders? There is a lack of evidence to recommend specific lifestyle-related interventions to improve outcomes in poor ovarian responders. Strong ⊛⊛⊘⊘
Ovarian stimulation protocols
11 Is the GnRH antagonist protocol superior to GnRH agonist (GnRH agonist) protocols for poor responders? The GnRH antagonist protocol and long GnRH agonist protocol are equally recommended for poor responders. Strong ⊛⊛⊘⊘
The short GnRH agonist protocol is not recommended over the GnRH antagonist protocol for poor responders. Conditional ⊛⊛⊘⊘
12 Is the mild ovarian stimulation protocol superior to conventional protocols (GnRH antagonist or long GnRH agonist protocol) for poor responders? Mild stimulation with low-dose gonadotropin and conventional stimulation are equally recommended for poor responders. Strong ⊛⊛⊘⊘
Mild stimulation with oral letrozole in combination with low-dose gonadotropin or conventional stimulation is equally recommended for poor responders. Strong ⊛⊛⊛⊘
Mild stimulation with oral clomiphene citrate in combination with low-dose gonadotropin or conventional stimulation is equally recommended in poor responders. Strong ⊛⊛⊛⊘
The decision to use clomiphene citrate alone as a mild stimulation strategy in poor responders is based on patient characteristics and previous treatment response. GPP -
13 Is the GnRH agonist flare protocol superior to the long GnRH agonist protocol for poor responders? The GnRH agonist flare protocol is not recommended over the long GnRH agonist protocol for ovarian stimulation in poor responders. Strong ⊛⊛⊘⊘
14 Is Duostim superior to antagonist/mild stimulation or two conventional (BISTIM) protocols for poor responders? The Duostim protocol is not recommended over the GnRH antagonist protocol in poor responders. Strong ⊛⊛⊘⊘
15 Is luteal phase stimulation (LPS) superior to follicular phase stimulation (FPS) for poor responders? LPS is not recommended over FPS in poor responders. Strong ⊛⊛⊘⊘
16 Is the modified natural cycle protocol superior to the GnRH antagonist protocol for poor responders? The modified natural cycle protocol is not recommended over the GnRH antagonist protocol for poor responders. Strong ⊛⊛⊘⊘
17 Is the progesterone primed ovarian stimulation (PPOS) protocol superior to the GnRH antagonist protocol for poor responders? The PPOS protocol is not recommended over the GnRH antagonist protocol for poor responders. Strong ⊛⊛⊘⊘
Types of stimulant drugs
18 What is the safety and efficacy of recombinant FSH (rFSH) compared to that of urinary gonadotropins in poor responders? The use of either human menopausal gonadotropin (hMG) or rFSH is equally recommended in poor responders. - -
Mid-follicular addition of hMG in long agonist cycles is recommended for patients hyporesponsive to rFSH. Conditional ⊛⊛⊘⊘
The use of urinary FSH over rFSH is not recommended in poor responders. Conditional ⊛⊛⊘⊘
19 What should be the starting dose of gonadotropins to improve the safety and efficacy of COS in the expected poor responders? Increasing the dose of gonadotropins beyond the standard dose to improve LBR among expected poor ovarian responders is not recommended. Strong ⊛⊛⊛⊛
20 What is the safety and efficacy of recombinant luteinizing hormone (rLH) + rFSH compared to that of rFSH monotherapy in poor responders? Recombinant follicle-stimulating hormone (rFSH ) monotherapy is not recommended over rFSH Recombinant human luteinizing hormone (r-hLH) in poor responders. Conditional ⊛⊛⊘⊘
Early or mid-follicular initiation of r-hLH is equally recommended in poor responders. Conditional ⊛⊛⊘⊘
21 What is the safety and efficacy of long-acting rFSH (corifollitropin alfa [CFA]) compared to that of rFSH or hMG in poor responders? CFA and rFSH are recommended in poor responders. Strong ⊛⊛⊛⊘
CFA and hMG recommended in poor responders. Strong ⊛⊛⊘⊘
Adjuvant therapies
22 Is the adjuvant use of growth hormone (GH) superior to not using an adjuvant for poor responders? Adjuvant use of GH in ovarian stimulation is not recommended or poor responders. Strong ⊛⊛⊘⊘
23 Is the adjuvant use of testosterone superior to not using an adjuvant for poor responders? Adjuvant use of testosterone in ovarian stimulation is not recommended for poor responders. Conditional ⊛⊛⊘⊘
24 Is the adjuvant use of dehydroepiandrosterone (DHEA) superior to not using an adjuvant for poor responders? Adjuvant use of DHEA in ovarian stimulation is not recommended for poor responders. Strong ⊛⊛⊛⊘
25 Is the adjuvant use of Co-Enzyme Q10 (CoQ10) Superior to not using an adjuvant for poor responders? Adjuvant use of CoQ10 in ovarian stimulation is not recommended for poor responders. Strong ⊛⊛⊛⊘
26 Is the adjuvant use of glucocorticoids superior to not using an adjuvant for poor responders? There is insufficient data to make a recommendation for the use of glucocorticoids as an adjuvant to ovarian stimulation in poor responders, and recommend further research. Strong -
Monitoring stimulation protocols
27 Does the addition of hormonal assessment (oestradiol/progesterone/LH) to ultrasound monitoring improve monitoring efficacy and safety for poor responders? There is insufficient data to make a recommendation for the addition of routine hormonal assessment (oestradiol/ progesterone/luteinizing hormone) to ultrasound monitoring for poor responders, and recommend further research. Conditional -
Criteria for conversion to intrauterine insemination or cycle cancellation
28 Should IVF/ICSI treatment be transitioned to IUI or cancelled in case of poor response to ovarian stimulation? Routine transition to IUI is not recommended for poor responders. Conditional ⊛⊘⊘⊘
Criteria for triggering of final oocyte maturation
29 Which is the preferred drug to trigger final oocyte maturation for efficacy and safety in poor responders undergoing IVF/ICSI? Dual trigger (combining GnRH agonist and human chorionic gonadotropin [hCG]) is not recommended over the conventional hCG trigger for poor responders in GnRH antagonist cycles. Conditional ⊛⊛⊘⊘
Embryo transfer
30 Does elective freeze-all embryo transfer improve efficacy in poor responders? Routine elective freeze-all embryo transfer is not recommended in poor responders. Strong ⊛⊘⊘⊘
Oocyte retrieval and embryology
31 Is follicular flushing superior to no Follicular flushing during oocyte retrieval in poor responders? Routine use of the follicular flushing technique during oocyte retrieval is not recommended in poor responders. Strong ⊛⊛⊛⊘
32 Does routine ICSI improve efficacy or safety in poor responders? Routine use of ICSI over IVF for non-Male factor infertility is not recommended in poor responders. Strong ⊛⊘⊘⊘
33 Does routine pre-implantation genetic testing for aneuploidies (PGT-A) improve efficacy in poor responders? Routine PGT-A testing is not recommended in poor responders. Strong ⊛⊘⊘⊘
34 Does in vitro oocyte maturation improve efficacy in poor responders? Routine in vitro maturation (IVM) of oocytes is not recommended in poor responders. Strong ⊛⊘⊘⊘
Ovarian rejuvenation
35 Does intraovarian platelet-rich Plasma (PRP) improves efficacy or safety in poor responders? Intraovarian PRP therapy is not recommended in poor responders. Strong ⊛⊘⊘⊘
36 Does intraovarian stem-cell therapy improve efficacy or safety in poor responders? Intraovarian stem-cell therapy is not recommended in poor responders. Strong ⊛⊘⊘⊘
37 Does in vitro activation of ovarian tissue improve safety and efficacy in poor responders? In vitro activation of ovarian tissue is not recommended in poor responders. Strong ⊛⊘⊘⊘

POR: Poor Ovarian Response, AMH: Anti Mullerian Hormone, AFC: Antral Follicle Count, FSH: Follicle Stimulating Hormone, COS: Controlled Ovarian Stimulation, LBR: Live Birth Rate, IVF: In Vitro Fertilization, ICSI: Intra Cytoplasmic Sperm Injection, IUI: Intra Uterine Insemination

Table 2: Tabular summary of recommendations
Sr No Evidence-based recommendations Strength of recommendation Level of evidence
Pre-stimulation management in poor responders
Evidence-based recommendations for clinical practice
1 The use of anti-müllerian hormone levels as a biomarker for predicting poor ovarian response is recommended. Strong Low
⊛⊛⊘⊘
2 Assessment of basal antral follicle count through transvaginal ultrasonography is recommended for predicting POR. Strong Low
⊛⊛⊘⊘
Interventions not recommended for POR in clinical practice
3 Routine genetic polymorphism testing is not recommended to predict POR. Strong Low
⊛⊛⊘⊘
4 Routine pretreatment with oestrogen in the luteal phase (oestrogen priming) is not recommended for poor responders. Conditional Low
⊛⊛⊘⊘
5 Oral contraceptive pills pretreatment is not recommended for improving live births in poor responders. Strong Low
⊛⊛⊘⊘
6 Routine use of the gonadotropin-releasing hormone (GnRH) antagonist delayed start protocol is not recommended for poor responders. Conditional Low
⊛⊛⊘⊘
7 Pretreatment with antioxidants is not recommended for poor responders due to a lack of evidence. Conditional Low
⊛⊛⊘⊘
8 There is a lack of evidence to recommend specific lifestyle-related interventions to improve outcomes in poor ovarian responders. Strong Low
⊛⊛⊘⊘
Insufficient evidence to make a recommendation, and further research is recommended
9 There is insufficient data to make a recommendation for routine immunological testing at baseline to predict POR and recommend further research. Strong No evidence
10 There is insufficient data to make a recommendation for alternative medicine-based therapy for poor responders, and further research is recommended. Strong No evidence
Ovarian stimulation protocols
Evidence-based recommendations for clinical practice
11 The GnRH antagonist protocol and long GnRH agonist protocol are equally recommended for poor responders. Strong Low
⊛⊛⊘⊘
12 Mild stimulation with low-dose gonadotropin and conventional stimulation are equally recommended for poor responders. Strong Low
⊛⊛⊘⊘
13 Mild stimulation with oral letrozole in combination with low-dose gonadotropin or conventional stimulation is equally recommended for poor responders. Strong Moderate
⊛⊛⊛⊘
14 Mild stimulation with oral clomiphene citrate in combination with low-dose gonadotropin or conventional stimulation is equally recommended in poor responders. Strong Moderate
⊛⊛⊛⊘
15 The decision to use clomiphene citrate alone as a mild stimulation strategy in poor responders is based on patient characteristics and previous treatment response. GPP No evidence
Interventions not recommended for POR in clinical practice
16 The GnRH agonist flare protocol is not recommended over the long GnRH agonist protocol for ovarian stimulation in poor responders. Strong Low
⊛⊛⊘⊘
17 The DuoStim protocol is not recommended over the GnRH antagonist protocol in poor responders. Strong Low
⊛⊛⊘⊘
18 Luteal phase stimulation is not recommended over follicular phase stimulation in poor responders. Strong Low
⊛⊛⊘⊘
19 The modified natural cycle protocol is not recommended over the GnRH antagonist protocol for poor responders. Strong Low
⊛⊛⊘⊘
20 The progesterone primed ovarian stimulation protocol is not recommended over the GnRH antagonist protocol for poor responders. Strong Low
⊛⊛⊘⊘
21 The short GnRH agonist protocol is not recommended over the GnRH antagonist protocol for poor responders. Conditional Low
⊛⊛⊘⊘
Types of stimulant drugs
Evidence-based recommendations for clinical practice
22 The use of either human menopausal gonadotropin (hMG) or recombinant FSH (rFSH) is equally recommended in poor responders. Strong Low
⊛⊛⊘⊘
23 Mid-follicular addition of hMG in long agonist cycles is recommended for patients hyporesponsive to rFSH. Conditional Low
⊛⊛⊘⊘
24 Early or mid-follicular initiation of r-hLH is equally recommended in poor responders. Conditional Low
⊛⊛⊘⊘
25 Corifollitropin alfa (CFA) and rFSH are equally recommended in poor responders. Strong Moderate
⊛⊛⊛⊘
26 CFA and hMG are equally recommended in poor responders. Strong Low
⊛⊛⊘⊘
Interventions not recommended for POR in clinical practice
27 The use of urinary FSH over rFSH is not recommended in poor responders. Conditional Low
⊛⊛⊘⊘
28 Increasing the dose of gonadotropins beyond the standard dose to improve live birth rates among expected poor ovarian responders is not recommended. Strong High
⊛⊛⊛⊛
29 Recombinant follicle-stimulating hormone (rFSH ) monotherapy is not recommended over Recombinant human luteinizing hormone (r-hLH) in poor responders. Conditional Low
⊛⊛⊘⊘
Adjuvant therapies
Interventions not recommended for POR in clinical practice
Adjuvant therapies
Interventions not recommended for POR in clinical practice
30 Adjuvant use of growth hormone in ovarian stimulation is not recommended for poor responders. Strong Low
⊛⊛⊘⊘
31 Adjuvant use of testosterone in ovarian stimulation is not recommended for poor responders. Conditional Low
⊛⊛⊘⊘
32 Adjuvant use of dehydroepiandrosterone in ovarian stimulation is not recommended for poor responders. Strong Moderate
⊛⊛⊛⊘
33 Adjuvant use of co-enzyme Q10 in ovarian stimulation is not recommended for poor responders. Strong Moderate
⊛⊛⊛⊘
Insufficient evidence to make a recommendation, and further research is recommended
34 There is insufficient data to make a recommendation for the use of glucocorticoids as an adjuvant to ovarian stimulation in poor responders, and recommend further research. Strong No evidence
Monitoring stimulation protocols
Insufficient evidence to make a recommendation, and further research is recommended
35 There is insufficient data to make a recommendation for the addition of routine hormonal assessment (oestradiol/progesterone/luteinizing hormone) to ultrasound monitoring for poor responders, and recommend further research. Conditional No evidence
Criteria for conversion to intrauterine insemination or cycle cancellation
Interventions not recommended for POR in clinical practice
36 Routine transition to intrauterine insemination is not recommended for poor responders. Conditional Very low
⊛⊘⊘⊘
Criteria for triggering of final oocyte maturation
Interventions not recommended for POR in clinical practice
37 Dual trigger (combining GnRH agonist and human chorionic gonadotropin [hCG]) is not recommended over the conventional hCG trigger for poor responders in GnRH antagonist cycles. Conditional Low
⊛⊛⊘⊘
38 Routine elective freeze-all embryo transfer is not recommended in poor responders. Strong Very low
⊛⊘⊘⊘
Oocyte retrieval and embryology
Interventions not recommended for POR in clinical practice
39 Routine use of the follicular flushing technique during oocyte retrieval is not recommended in poor responders. Strong Moderate
⊛⊛⊛⊘
40 Routine use of intracytoplasmic sperm injection over in vitro fertilisation for non-male factor infertility is not recommended in poor responders. Strong Very low
⊛⊘⊘⊘
41 Routine preimplantation genetic testing- aneuploidy testing is not recommended in poor responders Strong Very low
⊛⊘⊘⊘
42 Routine in vitro maturation of oocytes is not recommended in poor responders. Strong Very low
⊛⊘⊘⊘
Ovarian Rejuvenation
Interventions not recommended for POR in clinical practice
43 Intraovarian platelet-rich plasma therapy is not recommended in poor responders. Strong Very low
⊛⊘⊘⊘
44 Intraovarian stem-cell therapy is not recommended in poor responders. Strong Very low
⊛⊘⊘⊘
45 In-vitro activation of ovarian tissue is not recommended in poor responders. Strong Very low
⊛⊘⊘⊘

The symbols represent the grading of the quality of recommendations as per the GRADE framework

DISCUSSION

All recommendations presented in these guidelines are primarily formed by evidence from systematic reviews, meta-analyses, randomised controlled trials (RCTs), and well-conducted cohort studies. Among the various hormonal biomarkers evaluated, anti-Müllerian hormone (AMH) has consistently demonstrated the highest reliability for predicting POR. AMH measurement offers the advantage of cycle independence and has been shown to accurately predict both low (<4 oocytes) and high (>15 oocytes) ovarian responses.[15-17] Similarly, antral follicle count (AFC) is recognised as a robust predictor of ovarian response in IVF cycles.[18] Both AMH and AFC exhibit comparable predictive accuracy and clinical utility; however, AFC provides a more precise assessment of ovarian reserve than all other ultrasound-based parameters, such as ovarian volume.[19-21]

Comparisons between the gonadotropin-releasing hormone (GnRH) agonist protocols and the antagonist protocols have been evaluated in patients with POR. Evidence from multiple meta-analyses indicates no statistically significant differences between the two approaches with respect to CPRs, ongoing pregnancy rates (OPRs), or the number of oocytes retrieved.[22,23] While few studies suggest that long and short GnRH agonist regimens may yield equivalent or occasionally better outcomes compared with the antagonist protocols, the evidence remains inconclusive, necessitating further high-quality trials to validate these observations.[24,25]

The impact of stimulation intensity and protocol modification has also been examined in POR patients. Available studies demonstrate no statistically significant difference in fresh LBRs when comparing the low-dose gonadotropin regimens, with/ without antagonist use, against the conventional stimulation protocols employing GnRH agonists or antagonists.[26] Evidence of moderate certainty from RCTs and meta-analyses indicates that oral ovarian stimulation agents, such as Clomiphene citrate or Letrozole, when combined with the low-dose gonadotropins, achieve comparable CPRs, OPRs, cumulative LBRs, and fresh LBRs to standard stimulation regimens. This combination may therefore be considered a viable alternative in selected patients, although it is associated with fewer oocytes retrieved and higher cancellation rates in some studies.[26,27]

At present, evidence remains insufficient to support the use of letrozole monotherapy as a substitute for conventional stimulation protocols in POR. Moreover, escalation of gonadotropin doses beyond conventional thresholds has not been shown to improve LBRs in expected poor responders, as demonstrated consistently across several RCTs.[28-32]

An RCT conducted in women aged ≥35 years who underwent IVF demonstrated that human menopausal gonadotropin (hMG) and recombinant follicle-stimulating hormone (rFSH) achieved comparable LBRs per initiated cycle, despite a higher oocyte yield in the rFSH group.[33] These findings were corroborated by a large retrospective cohort study in poor ovarian responders, which reported similar oocyte recovery rates, CPRs, LBRs, and cycle cancellation rates between the two treatments.[34] Importantly, no cases of OHSS were reported in either group, underscoring the safety profile of both regimens. Collectively, these results support the use of either rFSH or hMG, enabling clinicians to adopt individualised stimulation strategies without compromising treatment efficacy or patient safety.

In women demonstrating suboptimal ovarian response to rFSH during long GnRH agonist cycles, an RCT reported that mid-cycle supplementation with hMG improved oocyte recovery and LBRs more effectively than either maintaining the current rFSH dose or increasing the rFSH dose.[35] However, two additional RCTs yielded inconclusive results.[36,37] Similarly, low-quality evidence from three observational studies in antagonist cycles produced inconsistent findings regarding the benefit of adding hMG compared with continuation of rFSH alone.[38-40] Based on the available evidence, the mid-cycle addition of hMG in long agonist protocols may be considered for patients who are hyporesponsive to rFSH, although further confirmatory studies are required.

Evidence from a systematic review and meta-analysis demonstrated that co-treatment with recombinant luteinizing hormone (rLH) and rFSH significantly improved CPRs compared with rFSH monotherapy.[41] Enhanced implantation rates and higher oocyte yields were also observed with combined therapy. Subsequent systematic reviews and individual studies consistently supported the benefit of rLH supplementation, particularly among poor ovarian responders, with improvements noted in CPRs and overall reproductive outcomes.[42-44] Furthermore, an RCT reported a lower incidence of complete pregnancy failure when r-hFSH was combined with r-hLH, compared to r-hFSH alone, highlighting the superiority of combined gonadotropin therapy in optimising clinical outcomes for this challenging patient population.[45]

RCTs have demonstrated that the initiation of rLH at either the early or mid-follicular phase yields similar outcomes in women with POR. In a study involving 202 patients, no significant difference was found in the number of oocytes obtained when rLH supplementation was commenced early versus mid-cycle in combination with rFSH.[46] Similarly, another RCT found no variation in oocyte recovery between early and late initiation of rLH in POR patients undergoing IVF.[47] Collectively, these findings suggest that there is no significant difference in oocyte retrieval rate with respect to the timing of rLH addition, supporting the flexibility of either strategy in clinical practice.

Clinical evidence also indicates that Corifollitropin alfa (CFA) achieves outcomes comparable to daily rFSH or hMG in poor responders and women aged 35-45 years undergoing IVF.[48-54] Although no significant differences were observed in LBRs or pregnancy rates between CFA and conventional stimulation regimens, CFA offers the advantage of reduced injection frequency, thereby enhancing patient convenience and compliance.[48,55] Additionally, several studies have evaluated dual triggering (GnRH agonist plus hCG) compared with conventional hCG triggering, demonstrating higher numbers of mature oocytes, improved fertilisation and implantation rates, and increased CPRs with dual triggers.[56-60] However, other trials reported similar outcomes between the two strategies.[56,59,61,62] Given the heterogeneity of available evidence, both dual trigger and hCG-only trigger are conditionally recommended for POR patients undergoing GnRH antagonist cycles.

The GDG also identified several interventions that should not be routinely implemented in clinical practice due to insufficient or low-quality evidence. Different interventions like genetic polymorphism testing, luteal-phase estrogen pretreatment, luteal-phase stimulation, modified natural cycles, adjuvant therapies with growth hormone, DHEA, testosterone, or glucocorticoids, complementary or alternative medicine interventions, follicular flushing, PGT-A, elective freeze-all strategies, intraovarian platelet-rich plasma (PRP), intraovarian stem-cell therapy, and in vitro activation of ovarian tissue showed inconsistent results. The lack of supportive evidence should not be interpreted as proof of ineffectiveness but rather as an indication of insufficient data. Well-designed, RCTs with good sample sizes, complemented by periodic evidence updates, remain essential to guide future recommendations in this evolving domain.

CONCLUSION

The management of POR in IVF remains challenging due to patient heterogeneity and the absence of universally standardised protocols. Serum AMH and AFC are validated as the most reliable predictors for identifying women at increased risk of POR. While multiple stimulation protocols are available, no single regimen demonstrates consistent superiority across all patient populations, reinforcing the need for individualised treatment strategies.

Emerging approaches such as using dual-trigger, combined rLH/rFSH regimens, and flexible rLH administration demonstrate potential benefits, whereas CFA offers a patient-friendly option with reduced injection burden and comparable efficacy to conventional gonadotropins. Collectively, these findings highlight the necessity of patient-tailored therapeutic strategies and further high-quality research to optimise clinical and reproductive outcomes in POR management.

Acknowledgement

The authors acknowledge Dr Maya Saranathan, Dr Hardik Jethaliya, Dr Salini Asok, Dr Ashwini Maratha, Dr Linu Thomas, and Dr Sonal Nafade from Neovation Consultancy Services Pvt. Ltd. for managerial support. They acknowledge the support and guidance of Dr Sesh Sankara on the methodology of guideline development. All members of the expert panel contributed equally to writing the paper and critical reading. All authors approved the final version. Authors are also thankful to Dr Mehul R. Chorawala and Ms Sakshi Srivastava (Intas Pharmaceutical Ltd, Gujarat, India) for medical writing assistance and additional follow-up with the editorial team of the Journal. Authors would also like to thank Dr Vivek Sharma and Dr Vishal Dave (Intas Pharmaceutical Ltd, Gujarat, India) for critically reviewing the manuscript and for their fruitful suggestions.

Author’s Contribution: KDN:

Conceptualisation and design, Supervision; KDN, SG, AS, AB, FP, GK, LW: Consensus and questionnaire creation, Definition of intellectual content, Literature survey, implementation of study design, Manuscript first draft preparation and submission of article; MP, NSR, NM, NT: Stakeholder engagement, Protocol implementation, data collection, data analysis, Literature survey and preparation of Figures/tables, manuscript review and editing; PRJ, PT, PS, RT: Stakeholder engagement, Supervision during consensus/survey, Data curation, Manuscript Review and Editing; RS, SK, SS, SKA, SV: Data curation, Statistical Analysis and Interpretation, Manuscript Review and Editing; SNR, SGU, UNJ, GTP: Manuscript Review and Editing, Coordination with stakeholders, Definition of intellectual content, Data collection, data analysis.

Availability of data and materials (Data Sharing Statement):

The data that supports the findings of this research are not publicly available due to institutional restrictions. However, the datasets generated during study are available from corresponding author upon reasonable request.

Code Availability:

We confirm that EndNote Version 9, a freely available software application, was utilized for reference management.

Ethical approval:

Institutional Review Board approval is not required.

Declaration of patient consent:

Patient consent was not required as this study was based on publicly available data and opinion of expert panel.

Conflicts of interest:

There are no conflicts of interest.

Use of artificial intelligence (AI)-assisted technology for manuscript preparation:

The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.

Financial support and sponsorship: Nil.

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