Evidence map›Paper›PMID 42643125›Full record

ReviewDisease models & mechanisms2026

Restoring comparative expertise to improve translation of animal models.

K C Kent Lloyd

Abstract readReview
In one paragraph

Review in Disease models & mechanisms, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

1 author.

K C Kent LloydDepartment of Surgery, School of Medicine, Mouse Biology Program, and NAMs Testing Center, University of California Davis, Davis, CA 95618, USA.ORCID 0000-0002-5318-4144

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal models remain indispensable in biomedical research, particularly for discovering disease mechanisms within intact living organisms. Yet confidence in their human translational relevance has been weakened by apparent failures of preclinical findings to predict clinical outcomes. Although often attributed to species differences, such failures also reflect correctable problems in model selection, experimental design, endpoint choice and phenotype interpretation. A key, but overlooked, contributor is the erosion of comparative expertise in pathobiology and clinical medicine needed to relate animal phenotypes to human disease across species, strain, and developmental, physiological and pathological contexts. This expertise gap can lead investigators to mismatch models to biological questions, misinterpret background abnormalities as engineered phenotypes or extend mechanism-focused models beyond the questions they are suited to answer. New approach methodologies (NAMs), such as in vitro and in silico models, provide important complementary tools, but do not eliminate the need for whole-organism models or resolve this interpretive problem. Ensuring the reliability of biomedical research will require preserving well-justified animal models where whole-organism systems biology remains necessary, integrating validated NAMs only where they are fit for purpose, and rebuilding the comparative expertise needed to interpret both model types rigorously.

Indexed as

Disease Models, AnimalModels, AnimalTranslational Research, BiomedicalAnimalsHumansAnimal modelsComparative pathologyNew approach methodologiesTranslational research

Identifiers

PMID42643125
PMCPMC13580584

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.