Evidence map›Paper›PMID 41235792›Full record

ArticleJournal of medical entomology2026

Validating the use of a local developmental dataset for Cochliomyia macellaria (Diptera: Calliphoridae) to estimate the time of placement of various carrion types and sizes in Texas, United States, during summer.

Sienna N McPeek, Amber E MacInnis, Jeffery K Tomberlin

Abstract readValidation Study
In one paragraph

Article in Journal of medical entomology, 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

3 authors.

Sienna N McPeekDepartment of Entomology, Texas A&M University System, College Station, TX 77845, USA.ORCID 0009-0004-0309-3107
Amber E MacInnisDepartment of Entomology, Texas A&M University System, College Station, TX 77845, USA.ORCID 0000-0001-9339-6785
Jeffery K TomberlinDepartment of Entomology, Texas A&M University System, College Station, TX 77845, USA.ORCID 0000-0002-0560-4466

Funding

National Science Foundation 2052454, 2052565, 2052788United States Department of Agriculture, National Institute of Food and Agriculture 2023-38821-39961United States Department of Agriculture, National Institute of Food and Agriculture 2023-67019-39248
6 · The paper itself

Abstract

Accurate estimation of the time of colonization (TOC) is a cornerstone of forensic entomology, yet direct validation of laboratory-derived development datasets in field contexts remains rare. Within validation studies, when the TOC is unknown, the time of placement (TOP)-the point at which remains become accessible to insects (e.g,. Diptera)-can serve as a proxy. This study evaluated the accuracy of Cochliomyia macellaria (Diptera: Calliphoridae) development estimates under varying ecological conditions by calculating the estimated-to-actual TOP ratio (%). Factors examined included carcass type (small, medium, and large mammals; large birds), thermal summation method (accumulated degree days [ADD] vs. accumulated degree hours [ADH]), emergence timing (first vs. last emergence), development dataset tissue source (porcine vs. equine), and species coexistence with Chrysomya rufifacies (Diptera: Calliphoridae). A full-factorial, aligned rank-transformed ANOVA was conducted using three replicates per carcass type across two Texas field sites in 2023 and 2024. Using ADD, first-emergence data, and porcine-derived tissue consistently yielded the highest TOP ratios (93.9%, 96.3%, and 93.4%, respectively). Precision was greatest in small mammals and lowest in large mammals. Although ADD-based estimates generally outperformed ADH, ADH occasionally demonstrated greater consistency under certain contexts. Species coexistence and trial year showed context-dependent influences on TOP ratio outcomes. These findings underscore the importance of incorporating ecological and biological variability when applying development studies to forensic casework and highlight the robustness of ADD calculations and early-emergence sampling for estimating TOC in the field.

Indexed as

CalliphoridaeForensic EntomologyAnimalsLarvaSeasonsSwineTexasTime FactorsCochliomyia macellariadevelopmental modelsecological validationforensic entomologyspecies coexistence

Identifiers

PMID41235792
PMCPMC13329186

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Registered trials

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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.