Evidence map›Paper›PMID 39154136›Full record

ArticleCommunications biology2024

Proper micro-environment alleviates mortality in laboratory mouse breeding induced by litter overlap and older dams.

Gabriela M Morello, Sara Capas-Peneda, Sophie Brajon, Sofia Lamas, Igor M Lopes, Colin Gilbert, I Anna S Olsson

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Gabriela M Morelloi3S - Institute for Research and Innovation in Health, University of Porto, Porto, Portugal. gabriela.morello@i3s.up.pt.ORCID 0000-0002-5439-969X
Sara Capas-Penedai3S - Institute for Research and Innovation in Health, University of Porto, Porto, Portugal.ORCID 0000-0002-0167-8812
Sophie Brajoni3S - Institute for Research and Innovation in Health, University of Porto, Porto, Portugal.
Sofia Lamasi3S - Institute for Research and Innovation in Health, University of Porto, Porto, Portugal.
Igor M LopesSociedade Portuguesa de Inovação, Porto, Portugal.ORCID 0000-0001-9047-2711
Colin GilbertBabraham Institute, Babraham, Cambridge, UK.ORCID 0000-0003-2126-5828
I Anna S Olssoni3S - Institute for Research and Innovation in Health, University of Porto, Porto, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ongoing worldwide effort to reduce animal numbers in research often omits the issue of pre-weaning mortality in mouse breeding. A conservative estimate of 20% mortality would mean approximately 1.1 M mice die annually in the EU before scientific use. We hypothesize that pre-weaning mortality in laboratory mouse breeding is associated with cage social and macro/micro-environment conditions. Here we count pups from 509 C57BL/6J litters daily for accurate detection of mortality, and monitor cage micro-environment for 172 C57BL/6J litters. Probability of pups to die increases with the increase in dam age, number and age of older pups in the cage (of overlapped/cohabitating litters), and in small (<6 pups) and large (>11 pups) focal litters. Higher temperatures (>23.6 °C) and nest scores (>3.75) compensate for some of the socially-associated risks for pup death. These findings can be implemented in strategies for reducing pre-weaning mouse mortality, a more welfare-friendly and sustainable approach for science.

Indexed as

Mice, Inbred C57BLAnimalsBreedingFemaleHousing, AnimalLitter SizeMaleMiceMortalityWeaning

Identifiers

PMID39154136
PMCPMC11330512

What OpenQuestion holds

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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.