Evidence map›Paper›PMID 42435252›Full record

ArticleMedicine, health care, and philosophy2026

The dis-economy of precision medicine: how stratification multiplies social tension in healthcare systems.

Raef Kozman, Fabrice Jotterand

Abstract read
In one paragraph

Article in Medicine, health care, and philosophy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Raef KozmanInstitute of Biomedical Ethics, Basel University, Bernoullistrasse 28 - 2nd Floor, 4056, Basel, Switzerland. raef.kozman@unibas.ch.ORCID http://orcid.org/0009-0004-5266-6178
Fabrice JotterandInstitute of Biomedical Ethics, Basel University, Bernoullistrasse 28 - 2nd Floor, 4056, Basel, Switzerland.ORCID http://orcid.org/0000-0002-3903-6874

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precision medicine (PM) promises better outcomes by aligning prevention and treatment with molecular and phenotypic profiles. But precision is not merely a clinical refinement; it is an epistemic shift in how health systems classify risk, allocate eligibility and define value. In this study, we argue that broad adoption of PM creates structural tension within solidarity-based health systems and exposes limits in conventional cost-effectiveness evaluation. Ethically, PM converts pooled probabilistic uncertainty into individualized biological prediction, making access increasingly conditional on measurement, interpretation and pathway completion. Economically, PM fragments evaluable populations, destabilizes counterfactual comparison and shifts value from discrete products to information-dependent care pathways. As a result, standard metrics such as the incremental cost-effectiveness ratio (ICER) often become sensitive not only to biological effect, but also to governance: who is tested, how results are interpreted, which downstream services are funded and who can complete the pathway. We suggest that the instability observed in PM appraisal is not simply a technical problem of modeling, but a sign that the object of evaluation has changed. Recognizing this structural shift is essential if PM is to be integrated into health systems committed to both equity and evaluability.

Indexed as

Delivery of Health CarePrecision MedicineCost-Benefit AnalysisCost-Effectiveness AnalysisHumansCost-effectivenessEconomicsHealthcare systemsPrecision medicine

Identifiers

PMID42435252
PMCPMC13652759

What OpenQuestion holds

Textmetadata
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.