Evidence map›Paper›PMID 32448822›Full record

SynthesisJournal of epidemiology2021

Economic Evaluations of Gestational Diabetes Mellitus Screening: A Systematic Review.

Xiuting Mo, Ruoyan Gai Tobe, Yoshimitsu Takahashi, Naoko Arata, Tippawan Liabsuetrakul, Takeo Nakayama, Rintaro Mori

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Journal of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 15% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. [Current Status and Advances in the Diagnosis and Management of Gestational Diabetes Mellitus: An Analysis of Relevant Contents in theSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
    Review
  7. Review
  8. Review
  9. Exploring Structural Uncertainty in Cost-Effectiveness Modeling of Gestational Diabetes Screening: An Application Example from Norway.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
    Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
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

7 authors at 3 institutions in 3 countries.

Xiuting MoDepartment of Health Policy, National Center for Child Health and Development.ORCID http://orcid.org/0000-0002-3844-3064
Ruoyan Gai TobeDepartment of Health Policy, National Center for Child Health and Development.ORCID http://orcid.org/0000-0002-6271-555X
Yoshimitsu TakahashiDepartment of Health Informatics, Kyoto University School of Public Health.
Naoko ArataDivision of Women's Health and Reproductive Endocrinology, National Center for Child Health and Development.
Tippawan LiabsuetrakulEpidemiology Unit, Prince of Songkla University.
Takeo NakayamaDepartment of Health Informatics, Kyoto University School of Public Health.
Rintaro MoriDepartment of Health Policy, National Center for Child Health and Development.
Kyoto University · JPNational Center For Child Health and Development · JPPrince of Songkla University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aims to find evidence of the cost-effectiveness of gestational diabetes mellitus (GDM) screening and assess the quality of current economic evaluations, which have shown different conclusions with a variation in screening methods, data sources, outcome indicators, and implementation in diverse organizational contexts.

methodsEmbase, Medline, Web of Science, Health Technology Assessment, database, and National Health Service Economic Evaluation Database databases were searched through June 2019. Studies on economic evaluation reporting both cost and health outcomes of GDM screening programs in English language were selected, and the quality of the studies was assessed using Drummond's checklist. The general characteristics, main assumptions, and results of the economic evaluations were summarized.

resultsOur search yielded 10 eligible economic evaluations with different screening strategies compared in different settings and perspectives. The selected papers scored 81% (68-97%) on the items in Drummond's checklist on average. In general, a screening program is cost-effective or even dominant over no screening. The one-step screening, with more cases detected, is more likely to be cost-effective than the two-step screening. Universal screening is more likely to be cost-effective than screening targeting the high-risk population. Parameters affecting cost-effectiveness include: diagnosis criteria, epidemiological characteristics of the population, efficacy of screening and treatment, and costs.

conclusionsMost studies found GDM screening to be cost-effective, though uncertainties remain due to many factors. The quality assessment identified weaknesses in the economic evaluations in terms of integrating existing data, measuring costs and consequences, analyzing perspectives, and adjusting for uncertainties.

Indexed as

Cost-Benefit AnalysisDiabetes, GestationalFemaleHumansMass ScreeningPregnancyeconomic valuationgestational diabetes mellitus screeningreview

Identifiers

PMID32448822
PMCPMC7878709
OpenAlexW3027273330

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.