Evidence map›Paper›PMID 35383079›Full record

ArticleBMJ open2022

Assessing the cost-effectiveness of precision medicine: protocol for a systematic review and meta-analysis.

Wenjia Chen, Thunyarat Anothaisintawee, Dimple Butani, Yi Wang, Yaroslava Zemlyanska, Chong Boon Nigel Wong, Suchin Virabhak, M A Hrishikesh, Yot Teerawattananon

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. How accurate should a precision medical test be to meet cost-effectiveness.Cost effectiveness and resource allocation : C/E · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. 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

9 authors at 4 institutions in 3 countries.

Wenjia ChenSaw Swee Hock School of Public Health, National University of Singapore, Singapore wenjiach@nus.edu.sg.ORCID 0000-0001-8201-7145
Thunyarat AnothaisintaweeDepartment of Family Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Salaya, Nakhon Pathom, Thailand.
Dimple ButaniHealth Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Bangkok, Thailand.
Yi WangSaw Swee Hock School of Public Health, National University of Singapore, Singapore.ORCID 0000-0003-1934-9926
Yaroslava ZemlyanskaSaw Swee Hock School of Public Health, National University of Singapore, Singapore.
Chong Boon Nigel WongSaw Swee Hock School of Public Health, National University of Singapore, Singapore.ORCID 0000-0002-6501-8848
Suchin VirabhakPrecision Health Research Singapore (PRECISE), Consortium for Clinical Research and Innovation Singapore, Singapore.
M A HrishikeshHealth Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Bangkok, Thailand.
Yot TeerawattananonSaw Swee Hock School of Public Health, National University of Singapore, Singapore.
National University of Singapore · SGMinistry of Public Health · THMahidol University · THSingapore-MIT Alliance for Research and Technology · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPrecision medicine (PM) involves gene testing to identify disease risk, enable early diagnosis or guide therapeutic choice, and targeted gene therapy. We aim to perform a systematic review and meta-analysis to quantify the cost-effectiveness profile of PM stratified by intervention type, identify sources of heterogeneity in the value-for-money of PM. METHODS AND ANALYSIS: We will perform a systematic search in Embase, MEDLINE, EconLit and CRD databases for studies published in English language or with translation in English between 1 January 2011 and 8 July 2021 on the topic of cost-effectiveness analysis of PM interventions. The focus will be on studies that reported health and economic outcomes. Study quality will be assessed using the Biases in Economic Studies checklist. The incremental net benefit of PM screening, diagnostic, treatment-targeting and therapeutic interventions over conventional strategies will be respectively pooled across studies using a random-effect model if heterogeneity is present, otherwise a fixed-effect model. Subgroup analyses will be performed based on disease area, WHO region and World Bank country-income level. Additionally, we will identify the potential sources of heterogeneity with random-effect meta-regressions. Finally, biases will be detected using jackknife sensitivity analysis, funnel plot assessment and Egger's tests. ETHICS AND DISSEMINATION: For this type of study ethics approval or formal consent is not required. The results will be disseminated at various presentations and feedback sessions, in conference abstracts and manuscripts that will be submitted to peer-reviewed journals. PROSPERO REGISTRATION NUMBER: CRD42021272956.

Indexed as

Mass ScreeningPrecision MedicineCost-Benefit AnalysisHumansMeta-Analysis as TopicSystematic Reviews as TopicGENETICSHEALTH ECONOMICSPUBLIC HEALTH

Identifiers

PMID35383079
PMCPMC8984003
OpenAlexW4224314993

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.