Evidence map›Paper›PMID 40959647›Full record

ArticleFrontiers in public health2025

Measuring success of targeted screening and prevention for hemoglobinopathies.

Rajat Kumar Agarwal, Sundar Periyavan, Deepa Trivedi, Vaibhav Shah, Mohana Reddy, George Mani, Amit Sedai, Kumari Ankita, Lawrence Faulkner

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
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

9 authors.

Rajat Kumar AgarwalSankalp India Foundation, Bangalore, India.
Sundar PeriyavanSankalp India Foundation, Bangalore, India.
Deepa TrivediSankalp India Foundation, Bangalore, India.
Vaibhav ShahSankalp India Foundation, Bangalore, India.
Mohana ReddySankalp India Foundation, Bangalore, India.
George ManiSankalp India Foundation, Bangalore, India.
Amit SedaiSankalp India Foundation, Bangalore, India.
Kumari AnkitaSankalp India Foundation, Bangalore, India.
Lawrence FaulknerSankalp India Foundation, Bangalore, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeted screening for hemoglobinopathies is crucial for preventing affected births and mitigating the psychological and financial burdens on families. This study proposes two novel indicators-Screening index and prevention index-to evaluate the effectiveness of hemoglobinopathy prevention programs. The Screening index measures the proportion of at-risk women who are successfully screened and informed, while the Prevention Index assesses the number of women enrolled per birth prevented, reflecting the program's efficiency in reducing affected births. These indicators account for critical factors such as counselor quality, testing accuracy, timeliness, accessibility, and demographic influences, which impact program success. We also address the limitations of traditional measures and emphasize the need for normalized indicators to adjust for variations in carrier rates across different populations. This approach enhances program monitoring, informs resource allocation, and guides improvements in screening and prevention strategies. Through these measures, we aim to provide a clear understanding of program outcomes, highlight areas for improvement, and offer a cost-efficient approach to prevent hemoglobinopathy-related births.

Indexed as

HemoglobinopathiesMass ScreeningAdultFemaleHumansPregnancyProgram Evaluationhemoglobinopathiesprevention and controlprogram evaluationscreeningthalassemia and sickle cell disease

Identifiers

PMID40959647
PMCPMC12434111

What OpenQuestion holds

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LicenceCC BY
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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.