Evidence map›Paper›PMID 35855609›Full record

ReviewBiology letters2022

Applications of conceptual models from lifecourse epidemiology in ecology and evolutionary biology.

Zachary M Laubach, Kay E Holekamp, Izzuddin M Aris, Natalie Slopen, Wei Perng

Open access · hybridAbstract readReview
In one paragraph

Review in Biology letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. 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

5 authors at 4 institutions in 2 countries.

Zachary M LaubachDepartment of Ecology and Evolutionary Biology (EEB), University of Colorado Boulder, Boulder, CO, USA.ORCID 0000-0003-2614-139X
Kay E HolekampMara Hyena Project, Karen, Nairobi, Kenya.ORCID 0000-0001-5471-1076
Izzuddin M ArisDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Natalie SlopenDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Wei PerngDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Harvard University · USColorado School of Public Health · USKaren Hospital · KEUniversity of Colorado Boulder · US

Funding

PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI JANINE A HIGGINS · 1995 to 2026
$32.6M
Institutional Career Development CoreKL2TR002534 · NCATS · UNIVERSITY OF COLORADO DENVER · PI BURNHAM, ELLEN L · 2018 to 2022
$4.6M
NCATS NIH HHS KL2 TR002534NIDDK NIH HHS P30 DK048520
6 · The paper itself

Abstract

In ecology and evolutionary biology (EEB), the study of developmental plasticity seeks to understand ontogenetic processes underlying the phenotypes upon which natural selection acts. A central challenge to this inquiry is ascertaining a causal effect of the exposure on the manifestation of later-life phenotype due to the time elapsed between the two events. The exposure is a potential cause of the outcome-i.e. an environmental stimulus or experience. The later phenotype might be a behaviour, physiological condition, morphology or life-history trait. The latency period between the exposure and outcome complicates causal inference due to the inevitable occurrence of additional events that may affect the relationship of interest. Here, we describe six distinct but non-mutually exclusive conceptual models from the field of lifecourse epidemiology and discuss their applications to EEB research. The models include Critical Period with No Later Modifiers, Critical Period with Later Modifiers, Accumulation of Risk with Independent Risk Exposures, Accumulation of Risk with Risk Clustering, Accumulation of Risk with Chains of Risk and Accumulation of Risk with Trigger Effect. These models, which have been widely used to test causal hypotheses regarding the early origins of adult-onset disease in humans, are directly relevant to research on developmental plasticity in EEB.

Indexed as

Biological EvolutionEcologyHumansModels, TheoreticalPhenotypeSelection, Geneticcausal inferenceconceptual modeldevelopmental plasticityecology and evolutionary biologyepidemiologylifecourse

Identifiers

PMID35855609
PMCPMC9297019
OpenAlexW4286267126

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.