Evidence map›Paper›PMID 42630504›Full record

ArticleJournal of obstetrics and gynaecology of India2026

Neha Singh, Tulika Seth, Shashi Kant, Ravneet Kaur, Sanjay K Rai

Abstract read
In one paragraph

Article in Journal of obstetrics and gynaecology of India, 2026. 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

5 authors.

Neha SinghCentre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India.ORCID 0000-0002-1400-5107
Tulika SethDepartment of Hematology, All India Institute of Medical Science, New Delhi, India.
Shashi KantCentre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India.
Ravneet KaurCentre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India.
Sanjay K RaiCentre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The prevalence of beta thalassemia trait (BTT) in India ranges from 1 to17%. Antenatal screening for BTT is the most acceptable screening strategy. Complete blood count (CBC) is a part of the routine antenatal checkup, and no extra resource would be required for BTT screening among antenatal women. Methods: We conducted a retrospective analysis of the hematological laboratory reports of anemic antenatal women. Data were extracted from the laboratory reports of CBC and the HPLC (high-performance liquid chromatography) test. The diagnostic performance parameters that were assessed included accuracy, sensitivity, specificity, and predictive values (positive and negative) with 95% CI. We compared mean corpuscular volume (MCV), the mean corpuscular hemoglobin (MCH) level, and the Shine and Lal (SNL) index with HPLC (gold standard) for detecting BTT. An exploratory analysis was performed to derive the best combination of tests for screening BTT. Results: Five hundred antenatal women participated in the study, of which 132 were positive for BTT by HPLC. Women with HbA2 value in the range of 3.5% to 9% were taken as positive for BTT. MCH was the most specific (89.9%), and the Shine and Lal index was the most sensitive test (90.9%) for detecting BTT. The MCH and the Shine and Lal index, when used in parallel, had the highest area under the curve for detecting BTT. Conclusion: The CBC-based indices are effective screening tools for BTT. Two tests, i.e., the MCH and the Shine and Lal index, when used in parallel, had high sensitivity for detecting BTT among antenatal women.

Indexed as

Antenatal screeningBeta thalassemia traitDiagnostic accuracy

Identifiers

PMID42630504
PMCPMC13493710

What OpenQuestion holds

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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.