Evidence map›Paper›PMID 39290986›Full record

ArticleBiology methods & protocols2024

Advancing age grading techniques for

Mauro Pazmiño-Betancourth, Ivan Casas Gómez-Uribarri, Karina Mondragon-Shem, Simon A Babayan, Francesco Baldini, Lee Rafuse Haines

Abstract read
In one paragraph

Article in Biology methods & protocols, 2024. 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

6 authors.

Mauro Pazmiño-BetancourthSchool of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, G12 8QQ, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0003-4259-0611
Ivan Casas Gómez-UribarriSchool of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, G12 8QQ, Glasgow, United Kingdom.ORCID https://orcid.org/0009-0004-8017-2079
Karina Mondragon-ShemDepartment of Vector Biology, Liverpool School of Tropical Medicine, L3 5QA, Liverpool, United Kingdom.ORCID https://orcid.org/0000-0002-0997-5600
Simon A BabayanSchool of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, G12 8QQ, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0002-4949-1117
Francesco BaldiniSchool of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, G12 8QQ, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0002-5904-4070
Lee Rafuse HainesDepartment of Vector Biology, Liverpool School of Tropical Medicine, L3 5QA, Liverpool, United Kingdom.ORCID https://orcid.org/0000-0001-8821-6479

Funding

Wellcome Trust
6 · The paper itself

Abstract

Tsetse are the insects responsible for transmitting African trypanosomes, which cause sleeping sickness in humans and animal trypanosomiasis in wildlife and livestock. Knowing the age of these flies is important when assessing the effectiveness of vector control programs and modelling disease risk. Current methods to assess fly age are, however, labour-intensive, slow, and often inaccurate as skilled personnel are in short supply. Mid-infrared spectroscopy (MIRS), a fast and cost-effective tool to accurately estimate several biological traits of insects, offers a promising alternative. This is achieved by characterising the biochemical composition of the insect cuticle using infrared light coupled with machine-learning (ML) algorithms to estimate the traits of interest. We tested the performance of MIRS in estimating tsetse sex and age for the first-time using spectra obtained from their cuticle. We used 541 insectary-reared

Identifiers

PMID39290986
PMCPMC11407438

What OpenQuestion holds

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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.