Evidence map›Paper›PMID 38074712›Full record

SynthesisFrontiers in public health2023

Mapping the value for money of precision medicine: a systematic literature review and meta-analysis.

Wenjia Chen, Nigel Chong Boon Wong, Yi Wang, Yaroslava Zemlyanska, Dimple Butani, Suchin Virabhak, David Bruce Matchar, Thittaya Prapinvanich, Yot Teerawattananon

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.7field-weighted citation impact, top 4% 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

11 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
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  3. Article
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  7. Article
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  9. Article
  10. Development of the PICCOTEAM Reference Case for Economic Evaluation of Precision Medicine.International journal of health policy and management · 2025
    Article
  11. Article
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 at 6 institutions in 2 countries.

Wenjia ChenSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Nigel Chong Boon WongSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Yi WangSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Yaroslava ZemlyanskaSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Dimple ButaniHealth Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Bangkok, Thailand.
Suchin VirabhakPrecision Health Research, Singapore (PRECISE), Singapore, Singapore.
David Bruce MatcharPrecision Health Research, Singapore (PRECISE), Singapore, Singapore.
Thittaya PrapinvanichYale-NUS College, Singapore, Singapore.
Yot TeerawattananonSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
National University of Singapore · SGDuke-NUS Medical School · SGHealth Intervention and Technology Assessment Program · THMinistry of Public Health · THNational University Health System · SGYale-NUS College · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to quantify heterogeneity in the value for money of precision medicine (PM) by application types across contexts and conditions and to quantify sources of heterogeneity to areas of particular promises or concerns as the field of PM moves forward. Methods: A systemic search was performed in Embase, Medline, EconLit, and CRD databases for studies published between 2011 and 2021 on cost-effectiveness analysis (CEA) of PM interventions. Based on a willingness-to-pay threshold of one-time GDP Results: Among the 275 unique CEAs of PM, publicly sponsored studies found neither genetic testing nor gene therapy cost-effective in general, which was contradictory to studies funded by commercial entities and early stage evaluations. Evidence of PM being cost-effective was concentrated in a genetic test for screening, diagnosis, or as companion diagnostics (pooled NMBs, $48,152, $8,869, $5,693, Conclusion: Precision medicine's value for money across application types and contexts was difficult to conclude from published studies, which might be subject to systematic bias. The conducting and reporting of CEA of PM should be locally based and standardized for meaningful comparisons.

Indexed as

Precision MedicineCost-Benefit Analysiscost effectivenesseconomic evaluationmedical geneticsmeta-analysisprecision medicinesystematic reviewvalue for money

Identifiers

PMID38074712
PMCPMC10704154
OpenAlexW4389030918

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.