Evidence map›Paper›PMID 42443103›Full record

ArticleBirth defects research2026

Replicability in EFDT Studies: Implications of Context Dependence for Virtual Control Groups (VCGs).

L David Wise, John M DeSesso

Abstract read
In one paragraph

Article in Birth defects research, 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.

L David WiseIndependent Teratologist, Haddon Twp, New Jersey, USA.ORCID https://orcid.org/0000-0002-2280-0725
John M DeSessoExponent, Alexandria, Virginia, USA.ORCID https://orcid.org/0000-0002-3134-4207

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reliable interpretation of animal toxicology studies depends on the ability to reproduce and replicate experimental findings. Recent discussions of Virtual Control Groups (VCGs) in nonclinical toxicology have emphasized the importance of matching study variables when constructing control datasets. However, the biological implications of variability among studies have received limited explicit attention. In embryo-fetal developmental toxicity (EFDT) studies, numerous intrinsic and extrinsic variables can influence pregnancy outcomes, fetal development, and the interpretation of findings. Drawing on previous analyses of EFDT variability and recent discussions of VCG implementation, 69 potential sources of non-treatment variability were identified and organized into five general domains, including animals, pre-study practices, the microenvironment, the macroenvironment, and study design/procedures. These domains differ in the degree to which they can be controlled or standardized across laboratories. Some variables may have negligible effects under many conditions, whereas others, alone or in combination, may influence study outcomes. EFDT outcomes are therefore inherently context-dependent, reflecting the combined influence of treatment and study context. Under such conditions, strict replicability of control-group outcomes across studies becomes biologically improbable. Recognition of this inherent variability has implications for expectations of study concordance and for the construction of VCGs as well as often-used historical control data (HCD). The development of reliable VCGs is therefore most feasible within individual laboratories where major domains of variability can be more closely aligned.

Indexed as

Control GroupsEmbryonic DevelopmentFetal DevelopmentToxicity TestsToxicologyAnimalsFemaleHumansPregnancyReproducibility of ResultsResearch Design

Identifiers

PMID42443103
PMCPMC13364726

What Socratic holds

Textmetadata
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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.