Evidence map›Paper›PMID 31775720›Full record

ArticleBMC health services research2019

Fetal Down syndrome screening models for developing countries; Part II: Cost-benefit analysis.

Chanane Wanapirak, Piyaluk Buddhawongsa, Woraluck Himakalasa, Auttapan Sarnwong, Theera Tongsong

Abstract read
In one paragraph

Article in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Impact of Structural Differences on the Modeled Cost-Effectiveness of Noninvasive Prenatal Testing.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
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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

5 authors.

Chanane WanapirakDepartment of Obstetrics and Gynecology, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand.
Piyaluk BuddhawongsaFaculty of Economics, Chiang Mai University, Chiang Mai, Thailand.
Woraluck HimakalasaFaculty of Economics, Chiang Mai University, Chiang Mai, Thailand.
Auttapan SarnwongFaculty of Economics, Chiang Mai University, Chiang Mai, Thailand.
Theera TongsongDepartment of Obstetrics and Gynecology, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand. theera.t@cmu.ac.th.ORCID http://orcid.org/0000-0002-3389-6478

Funding

The Research Fund, Faculty of Medicine, Chiang Mai University CMU-2562
6 · The paper itself

Abstract

backgroundTo identify the most cost-beneficial model as a national policy of screening and diagnosis of fetal Down syndrome (DS) in developing countries.

methodsCost-benefit analysis (CBA) was performed based on the effectiveness and probabilities derived from a large prospective study on MSS (maternal serum screening) among Thai population. Various models including maternal age alone, STS (second trimester screen), I-S (independent screen: first or second trimester screen depending on the time of first visit), C-S (contingent serum screen) plus STS, maternal age with NIPS (non-invasive prenatal test), STS alone with NIPS, I-S with NIPS, C-S plus STS with NIPS, and Universal NIPS were compared.

resultsI-S with NIPS as a secondary screening was most cost-beneficial (Benefit/Cost ratio 4.28). Cost-benefit is directly related to the costs of NIPS.

conclusionIn addition to simplicity and feasibility, I-S with expensive NIPS as a secondary screening is the most cost-beneficial method for low resource settings and should be included in universal healthcare coverage as a national policy. This study could be a model for developing countries or a guideline for international health organizations to help low resource countries, probably leading to a paradigm shift in prenatal diagnosis of fetal DS in the developing world.

Indexed as

Developing CountriesCost-Benefit AnalysisDown SyndromeFemaleHumansPregnancyPrenatal DiagnosisProspective StudiesCost-benefitDeveloping countryDown syndromePrenatal diagnosisPrenatal screening

Identifiers

PMID31775720
PMCPMC6880440

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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.