Evidence map›Paper›PMID 31130237›Full record

ArticleSocial science & medicine (1982)2022

Plastic diagnostics: The remaking of disease and evidence in personalized medicine.

Sara Green, Annamaria Carusi, Klaus Hoeyer

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Sorting out and navigating uncertainty in precision medicine.History and philosophy of the life sciences · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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  12. Review
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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

3 authors.

Sara GreenSection for History and Philosophy of Science, Department of Science Education, University of Copenhagen, Øster Voldgade 3, 1350, Copenhagen, Denmark; Centre for Medical Science and Technology Studies, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, PO Box 2099, 1014, Copenhagen K, Denmark. Electronic address: sara.green@ind.ku.dk.
Annamaria CarusiDepartment of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Medical School, Beech Hill Road Sheffield, S10 2RX, United Kingdom. Electronic address: a.carusi@sheffield.ac.uk.
Klaus HoeyerCentre for Medical Science and Technology Studies, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, PO Box 2099, 1014, Copenhagen K, Denmark. Electronic address: klho@sund.ku.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Politically authorized reports on personalized and precision medicine stress an urgent need for finer-grained disease categories and faster taxonomic revision, through integration of genomic and phenotypic data. Developing a data-driven taxonomy is, however, not as simple as it sounds. It is often assumed that an integrated data infrastructure is relatively easy to implement in countries that already have highly centralized and digitalized health care systems. Our analysis of initiatives associated with the Danish National Genome Center, recently launched to bring Denmark to the forefront of personalized medicine, tells a different story. Through a "meta-taxonomy" of taxonomic revisions, we discuss what a genomics-based disease taxonomy entails, epistemically as well as organizationally. Whereas policy reports promote a vision of seamless data integration and standardization, we highlight how the envisioned strategy imposes significant changes on the organization of health care systems. Our analysis shows how persistent tensions in medicine between variation and standardization, and between change and continuity, remain obstacles for the production as well as the evaluation of genomics-based taxonomies of difference. We identify inherent conflicts between the ideal of dynamic revision and existing regulatory functions of disease categories in, for example, the organization and management of health care systems. Moreover, we raise concerns about shifts in the regulatory regime of evidence standards, where clinical care increasingly becomes a vehicle for biomedical research.

Indexed as

PlasticsPrecision MedicineDelivery of Health CareGenomicsHumansPlasticsBig dataData infrastructureDenmark: Disease categoriesDisease taxonomiesGenomicsHealth care regulationPersonalized medicinePrecision medicine

Identifiers

PMID31130237
PMCPMC9218799

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.