Evidence map›Paper›PMID 39256525›Full record

ArticleScientific reports2024

Using weight loss to predict outcome and define a humane endpoint in preclinical sepsis studies.

Maëlick Brochut, Tytti Heinonen, Tiia Snäkä, Charly Gilbert, Didier Le Roy, Thierry Roger

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Unraveling the mouse model ofMicrobiology spectrum · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Tumor-ColonizingBiomolecules · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Maëlick BrochutInfectious Diseases Service, Department of Medicine, Lausanne University Hospital and University of Lausanne, CLED.04.407, Chemin des Boveresses 155, 1066, Epalinges, Switzerland.ORCID http://orcid.org/0009-0000-2756-244X
Tytti HeinonenInfectious Diseases Service, Department of Medicine, Lausanne University Hospital and University of Lausanne, CLED.04.407, Chemin des Boveresses 155, 1066, Epalinges, Switzerland.
Tiia SnäkäInfectious Diseases Service, Department of Medicine, Lausanne University Hospital and University of Lausanne, CLED.04.407, Chemin des Boveresses 155, 1066, Epalinges, Switzerland.ORCID http://orcid.org/0000-0001-6149-2166
Charly GilbertInfectious Diseases Service, Department of Medicine, Lausanne University Hospital and University of Lausanne, CLED.04.407, Chemin des Boveresses 155, 1066, Epalinges, Switzerland.
Didier Le RoyInfectious Diseases Service, Department of Medicine, Lausanne University Hospital and University of Lausanne, CLED.04.407, Chemin des Boveresses 155, 1066, Epalinges, Switzerland.ORCID http://orcid.org/0000-0001-8954-5442
Thierry RogerInfectious Diseases Service, Department of Medicine, Lausanne University Hospital and University of Lausanne, CLED.04.407, Chemin des Boveresses 155, 1066, Epalinges, Switzerland. Thierry.Roger@chuv.ch.ORCID http://orcid.org/0000-0002-9358-0109

Funding

Horizon 2020 HDM-FUN number 847507Horizon 2020 ImmunoSep 847422Swiss National Science Foundation 310030_207418
6 · The paper itself

Abstract

Preclinical mouse models are critical for understanding the pathophysiological response to infections and developing treatment strategies for sepsis. In keeping with ethical values, researchers follow guidelines to minimize the suffering of the mice. Weight loss is a criteria used as a humane end point, but there is no official recommendation for a maximum weight loss leading to euthanasia. To evaluate whether the thresholds used in daily practice are optimal, we performed a comprehensive retrospective analysis of data generated over 10 years with > 2300 mice used in models of infection with Listeria monocytogenes, Streptococcus pneumoniae, Candida albicans and H1N1 influenza virus. Weight loss segregated mice that survived from those that did not. Statistical analyses revealed that lowering the weight loss thresholds used (none, 30% or 20%) would have increased mortality rates due to the sacrifice of mice that survived infections (p < 0.01-0.001). Power calculations showed high variability and reduction of power as weight loss thresholds approached 20% for S. pneumoniae and L. monocytogenes models. Hence, weight loss thresholds need to be adapted to each model of infection used in a laboratory. Overall, weight loss is a valuable predictor of mortality that contributes to the robustness of composite scores. To our knowledge, this is the most extensive study exploring the relationship between weight loss threshold and sepsis outcome. It underscores the importance of the infection-model-specific evaluation of weight loss for use in clinical scores defining humane endpoints to minimize mouse suffering without compromising statistical power and scientific objectives.

Indexed as

Disease Models, AnimalSepsisWeight LossAnimalsHumansListeria monocytogenesMiceRetrospective StudiesHumane endpointInfectious diseasePreclinicalSepsisWeight loss

Identifiers

PMID39256525
PMCPMC11387420

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.