Evidence map›Paper›PMID 42505789›Full record

ArticleInsects2026

Estimating Post-Feeding Developmental Time of

Chengxin Ye, Xiangyan Zhang, Yang Bai, Fengqin Yang, Lei Zhao, Yadong Guo, Yanjie Shang

Abstract read
In one paragraph

Article in Insects, 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

7 authors.

Chengxin YeDepartment of Forensic Science, Xiangya School of Basic Medical Sciences, Central South University, Changsha 410013, China.ORCID 0009-0007-5189-2028
Xiangyan ZhangDepartment of Forensic Science, Xiangya School of Basic Medical Sciences, Central South University, Changsha 410013, China.ORCID 0009-0005-7905-6983
Yang BaiDepartment of Forensic Science, Xiangya School of Basic Medical Sciences, Central South University, Changsha 410013, China.
Fengqin YangDepartment of Forensic Science, Xiangya School of Basic Medical Sciences, Central South University, Changsha 410013, China.ORCID 0000-0001-6008-5841
Lei ZhaoInstitute of Forensic Science, Ministry of Public Security, Beijing 100038, China.
Yadong GuoDepartment of Forensic Science, Xiangya School of Basic Medical Sciences, Central South University, Changsha 410013, China.ORCID 0000-0001-7468-8061
Yanjie ShangDepartment of Forensic Science, Xiangya School of Basic Medical Sciences, Central South University, Changsha 410013, China.ORCID 0009-0001-9338-1484

Funding

National Natural Science Foundation of China 82402196National Natural Science Foundation of China 82572150Open Project of Key Laboratory of Forensic Pathology, Ministry of Public Security, China GAFYBL202401Open Project of the Institute of Forensic Science, Ministry of Public Security, China 2025CSEEKFKT02the Natural Science Foundation of Hunan Province 2024JJ6546
6 · The paper itself

Abstract

Estimating the post-feeding developmental time of necrophagous larvae remains challenging because body size and behavior provide limited resolution after larvae cease feeding. This study integrated behavioral observation, attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR), chemometric regression modeling, transcriptomic analysis, and reverse transcription quantitative polymerase chain reaction (RT-qPCR) validation to characterize post-feeding development in

Indexed as

chemometric regressionforensic entomologylarval age estimationminimum postmortem intervalmolecular validationSarcophaga peregrinaspectral fingerprintingwandering stage

Identifiers

PMID42505789
PMCPMC13410228

What Socratic 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 Socratic graph.