Evidence map›Paper›PMID 41958610›Full record

ReviewJournal of human reproductive sciences

Prevalence of Infertility in South Asia: A Systematic Review and Meta-Analysis.

Anshul Kumar Kushwaha, Saranya Jaisankar, Arpitha Anbu Deborah, Abirami Asokan, Gunjan Tripathi, Neha Chawla, Mohan S Kamath

Abstract readReview
In one paragraph

Review in Journal of human reproductive sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Anshul Kumar KushwahaDepartment of Clinical Development Services Agency (CDSA), BRIC - Translational Health Science and Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana, India.
Saranya JaisankarDepartment of Reproductive Medicine and Surgery, Christian Medical College Vellore, Tamil Nadu, India.
Arpitha Anbu DeborahDepartment of Reproductive Medicine and Surgery, Christian Medical College Vellore, Tamil Nadu, India.
Abirami AsokanDepartment of Reproductive Medicine and Surgery, Christian Medical College Vellore, Tamil Nadu, India.
Gunjan TripathiDepartment of Clinical Development Services Agency (CDSA), BRIC - Translational Health Science and Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana, India.
Neha ChawlaDepartment of Clinical Development Services Agency (CDSA), BRIC - Translational Health Science and Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana, India.
Mohan S KamathDepartment of Reproductive Medicine and Surgery, Christian Medical College Vellore, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Infertility affects about 16.5% of adults in low- and middle-income countries, according to the World Health Organization, and represents a major global public health concern. Despite this burden, population-level estimates from South Asia remain limited. Objective: To address this gap, we conducted a systematic review and meta-analysis to estimate the pooled prevalence of infertility in South Asia and to assess the quality of existing studies. Materials and Methods: We systematically searched PubMed, Scopus and Embase from inception to 12 April 2025 for studies reporting infertility prevalence in South Asia, excluding studies that did not report the total population from which the prevalence was calculated. Two reviewers independently screened studies, extracted data and assessed study quality using the Joanna Briggs Institute checklist. A random-effects meta-analysis of proportions was performed, and heterogeneity was assessed using Results: Of 4326 records screened, 16 studies met the inclusion criteria and were included in the systematic review, of which five were eligible for primary analysis. Except for one study from Nepal, the remaining studies were from India. The pooled prevalence of infertility was 8% (95% confidence interval [CI]: 5%-13%; Interpretation: The review shows a pooled prevalence that is lower than recent global estimates, highlighting the need for robust region-specific data. Limitations: Considerable variation in infertility definitions contributed to substantial heterogeneity and reduced comparability across studies. About one-third of the included studies were clinic-based, which are not ideal for estimating population prevalence. PROSPERO Registration: CRD42024623937.

Indexed as

Infertilitymeta-analysisprevalenceSouth Asiasystematic review

Identifiers

PMID41958610
PMCPMC13061151

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.