Evidence map›Paper›PMID 41943545›Full record

SynthesisAnnals of African medicine2026

Systematic Review and Meta-analysis on the Prevalence of Common Hemoglobinopathies in India.

Soumyajit Das, Glory Ghai, Shruthy Sathianath, S Savitha, S Sumathi, Felista Karen Joseph, Prakasini Satapathy, Aravind P Gandhi

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Annals of African medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Soumyajit DasMBBS Student, Institute of Medical Sciences and SUM Hospital, Bhubaneswar, Odisha, India.
Glory GhaiDepartment of Community Medicine, All India Institute of Medical Sciences, Nagpur, Maharashtra, India.
Shruthy SathianathDepartment of Community Medicine, All India Institute of Medical Sciences, Nagpur, Maharashtra, India.
S SavithaDepartment of Community Medicine, All India Institute of Medical Sciences, Nagpur, Maharashtra, India.
S SumathiDepartment of Pathology, Melmaruvathur Adhiparasakthi Institute of Medical Sciences and Research, Melmaruvathur, Chennai, Tamil Nadu, India.
Felista Karen JosephDepartment of Pathology, Melmaruvathur Adhiparasakthi Institute of Medical Sciences and Research, Melmaruvathur, Chennai, Tamil Nadu, India.
Prakasini SatapathyCenter for Global Health Research, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India.
Aravind P GandhiDepartment of Community Medicine, All India Institute of Medical Sciences, Nagpur, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextIn India, hemoglobinopathies such as beta-thalassemia, sickle cell disease, and glucose-6-phosphate dehydrogenase (G6PD) deficiency are major public health concerns.

aimsThe present meta-analysis aimed to aggregate data on the prevalence and distribution of these nationally significant hemoglobinopathies across various demographic segments of India. MATERIALS AND

methodsThe systematic review adhered to PRISMA 2020 guidelines. Four databases - Web of Science, PubMed, ProQuest, and Embase - were searched till 12.05.2024. Risk of bias assessment studies were undertaken using the JBI Critical Appraisal Checklist. STATISTICAL ANALYSIS USED: Pooled estimate of prevalence of each hemoglobinopathies and their traits was calculated with 95% confidence interval (CI). I2 statistics and the prediction interval were calculated to depict the heterogeneity. All statistical analyses were done in R studio.

resultsDatabase search yielded 1418 articles, among which 99 studies were finally included. Pooled prevalence of sickle cell anemia from 656,005 participants was 2% (95% CI: 1%-3%, I2 = 99.6%). Pooled prevalence of sickle cell trait was 5% (95% CI: 2%-8%, I2 = 99.9%). Pooled prevalence of beta thalassemia was 6% (95% CI: 2%-12%, I2 = 99.9%). Pooled prevalence of beta thalassemia trait was 7% (95% CI: 4%-9%, I2 = 99.6%). Pooled prevalence of G6PD deficiency was 5% (95% CI: 3%-8%, I2 = 98.8%). Subgroup analysis revealed varying prevalence of hemoglobinopathies across the regions and states.

conclusionsThe study findings highlight the burden and subsequent need for region-specific (decentralized) strategies for managing hemoglobinopathies. Addressing the burden through early diagnosis, genetic counseling, and public health interventions is crucial in reducing morbidity and improving health outcomes.

Indexed as

Anemia, Sickle Cellbeta-ThalassemiaGlucosephosphate Dehydrogenase DeficiencyHemoglobinopathiesHumansIndiaPrevalenceBeta-thalassemiaBêta-thalassémiedéficit en glucose-6-phosphate déshydrogénasedrépanocytoseglucose-6-phosphate dehydrogenase deficiencyhémoglobinopathiehemoglobinopathyIndeIndiaprevalenceprévalencesickle cell anemia

Identifiers

PMID41943545
PMCPMC13645255

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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.