Evidence mapPaperPMID 42254398Full record

ArticleFrontiers in medicine2026

Beyond the diagnostic threshold: paradigm shift in laboratory medicine from passive reaction to predictive capability.

Yu Zhang, Li Dong, Yun-Xia Xiu, Cong Shen

Abstract read
In one paragraph

Article in Frontiers in medicine, 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

4 authors.

Yu ZhangClinical Laboratory, The Second Affiliated Hospital of Mudanjiang Medical University, Mudanjiang, China.
Li DongDepartment of General Surgery, Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, China.
Yun-Xia XiuClinical Laboratory, The Second Affiliated Hospital of Mudanjiang Medical University, Mudanjiang, China.
Cong ShenClinical Laboratory, The Second Affiliated Hospital of Mudanjiang Medical University, Mudanjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional laboratory medicine, which relies on diagnostic thresholds, operates within a reactive framework that is inherently constrained by its retrospective and static nature. This perspective article scrutinizes the paradigm shift in the field from a responsive to a predictive discipline. The transition is centered on integrating multi-omics data, continuous biosensing, and artificial intelligence to build predictive systems capable of early risk identification and individualized health guidance. The perspective article further investigates the conceptual underpinnings, implementation pathways, and related challenges-spanning technical, ethical, and health-system dimensions-of this evolving paradigm. This transformation not only redefines the scope of laboratory medicine but also positions it as a foundational component within precision medicine and prevention-focused public health frameworks.

Indexed as

artificial intelligencediagnostic thresholdslaboratory medicinemulti-omics integrationprecision medicinepredictive paradigm

Identifiers

PMID42254398
PMCPMC13233258

What Socratic 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 Socratic graph.