Evidence map›Paper›PMID 33893610›Full record

SynthesisObesity surgery2021

Incremental Net Monetary Benefit of Bariatric Surgery: Systematic Review and Meta-Analysis of Cost-Effectiveness Evidences.

Prapaporn Noparatayaporn, Montarat Thavorncharoensap, Usa Chaikledkaew, Bhavani Shankara Bagepally, Ammarin Thakkinstian

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Obesity surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  6. How users perceive meta-analysis of economic evaluations.International journal of technology assessment in health care · 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

5 authors.

Prapaporn NoparatayapornMahidol University Health Technology Assessment (MUHTA) Graduate Program, Bangkok, Thailand.
Montarat ThavorncharoensapMahidol University Health Technology Assessment (MUHTA) Graduate Program, Bangkok, Thailand. montarat.tha@mahidol.ac.th.ORCID 0000-0002-8256-2167
Usa ChaikledkaewMahidol University Health Technology Assessment (MUHTA) Graduate Program, Bangkok, Thailand.
Bhavani Shankara BagepallyICMR-National Institute of Epidemiology, Chennai, India.
Ammarin ThakkinstianMahidol University Health Technology Assessment (MUHTA) Graduate Program, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This systematic review aimed to comprehensively synthesize cost-effectiveness evidences of bariatric surgery by pooling incremental net monetary benefits (INB). Twenty-eight full economic evaluation studies comparing bariatric surgery with usual care were identified from five databases. In high-income countries (HICs), bariatric surgery was cost-effective among mixed obesity group (i.e., obesity with/without diabetes) over a 10-year time horizon (pooled INB = $53,063.69; 95% CI $42,647.96, $63,479.43) and lifetime horizon (pooled INB = $101,897.96; 95% CI $79,390.93, $124,404.99). All studies conducted among obese with diabetes reported that bariatric surgery was cost-effective. Also, the pooled INB for obesity with diabetes group over lifetime horizon in HICs was $80,826.28 (95% CI $32,500.75, $129,151.81). Nevertheless, no evidence is available in low- and middle-income countries.

Indexed as

Bariatric SurgeryObesity, MorbidCost-Benefit AnalysisHumansObesityQuality-Adjusted Life YearsBariatric surgeryCost-effectivenessEconomic evaluationIncremental net monetary benefit

Identifiers

PMID33893610
PMCPMC8175295

What OpenQuestion holds

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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.