Evidence map›Paper›PMID 32287318›Full record

ArticlePloS one2020

Predicting death by the loss of intestinal function.

Kathreen Bitner, Parvin Shahrestani, Evan Pardue, Laurence D Mueller

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 34% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Markers and mechanisms of death inFrontiers in aging · 2023
    Article
  8. Article
  9. Metabolic Signatures of Life Span Regulated by Mating, Sex Peptide, and Mifepristone/RU486 in Female Drosophila melanogaster.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021
    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

4 authors at 2 institutions in 1 country.

Kathreen BitnerDepartment of Ecology and Evolutionary Biology, University of California, Irvine, California, United States of America.ORCID 0000-0001-5452-4502
Parvin ShahrestaniDepartment of Biology, California State University, Fullerton, California, United States of America.
Evan PardueDepartment of Ecology and Evolutionary Biology, University of California, Irvine, California, United States of America.
Laurence D MuellerDepartment of Ecology and Evolutionary Biology, University of California, Irvine, California, United States of America.
University of California, Irvine · USCalifornia State University, Fullerton · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to predict when an individual will die can be extremely useful for many research problems in aging. A technique for predicting death in the model organism, Drosophila melanogaster, has been proposed which relies on an increase in the permeability of the fly intestinal system, allowing dyes from the diet to permeate the body of the fly shortly before death. In this study we sought to verify this claim in a large cohort study using different populations of D. melanogaster and different dyes. We found that only about 50% of the individuals showed a visible distribution of dye before death. This number did not vary substantially with the dye used. Most flies that did turn a blue color before death did so within 24 hours of death. There was also a measurable effect of the dye on the fly mean longevity. These results would tend to limit the utility of this method depending on the application the method was intended for.

Indexed as

AgingAnimalsColoring AgentsDrosophila melanogasterFemaleIntestinesLongevityMaleModels, BiologicalPermeabilityColoring Agents

Identifiers

PMID32287318
PMCPMC7156097
OpenAlexW3015587563

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.