Evidence map›Paper›PMID 32989178›Full record

ArticleBlood research2020

Utility of screening tools to differentiate beta thalassemia trait and iron-deficiency anemia - do they serve a purpose in blood donors?

Amanpreet Sundh, Paramjit Kaur, Anshu Palta, Gagandeep Kaur

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Article in Blood research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
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

8 citing papers in PubMed, 19 citations in OpenAlex.

  1. Journal of obstetrics and gynaecology of India · 2026
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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

4 authors at 2 institutions in 1 country.

Amanpreet SundhDepartment of Transfusion Medicine, All India Institute of Medical Sciences, New Delhi, India.
Paramjit KaurGovernment Medical College and Hospital, Chandigarh, India.
Anshu PaltaDepartment of Pathology, Government Medical College and Hospital, Chandigarh, India.
Gagandeep KaurGovernment Medical College and Hospital, Chandigarh, India.
Government Medical College and Hospital · INAll India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to estimate the prevalence of the beta thalassemia trait (BTT) and differentiate it from iron-deficiency anemia (IDA) among blood donors.

methodsA total of 1,000 samples from blood donors were subjected to complete hemogram with red blood cell indices. Further, Mentzer index (MI) was calculated for samples with mean corpuscular volume (MCV) below 80 fL and mean corpuscular hemoglobin (MCH) below 27 pg. Samples with Mentzer index <12 were subjected to naked-eye single-tube red cell osmotic fragility test (NESTROFT) followed by hemoglobin electrophoresis in positive cases. Serum ferritin was assessed in NESTROFT-negative cases.

resultsThe prevalence of BTT among blood donors was 3.7% and that of microcytosis among donors was 8.6%. The prevalence of BTT among microcytic donors was 41.8% while that among those with IDA was 11.6%. A value of MI <13 was highly sensitive in the diagnosis of BTT. MI >13 was found to have both high specificity and high sensitivity for diagnosing IDA.

conclusionA moderately high prevalence of BTT was observed among blood donors. Presently, no screening program is mandatory for screening of BTT among blood donors. Indices like MCV, MCH, and Mentzer Index were thus found to be effective to screen for BTT and IDA among blood donors, and NESTROFT was a cost-effective mass screening method to differentiate BTT and IDA.

Indexed as

Beta thalassemia traitBlood donorsIron deficiency anemiaMentzer indexNESTROFT

Identifiers

PMID32989178
PMCPMC7536563
OpenAlexW3090739210

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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.