Evidence map›Paper›PMID 35634557›Full record

ArticleEFSA journal. European Food Safety Authority2022

Meta-analysis and systematic literature review of climate change effects on livestock welfare.

J N Morgado, F Santeramo, E Lamonaca, M G Ciliberti, M Caroprese

Abstract read
In one paragraph

Article in EFSA journal. European Food Safety Authority, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. 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

5 authors.

J N MorgadoDepartment of Agriculture, Food Natural Resources, and Engineering (DAFNE) University of Foggia Foggia Italy.
F SanteramoDepartment of Agriculture, Food Natural Resources, and Engineering (DAFNE) University of Foggia Foggia Italy.
E LamonacaDepartment of Agriculture, Food Natural Resources, and Engineering (DAFNE) University of Foggia Foggia Italy.
M G CilibertiDepartment of Agriculture, Food Natural Resources, and Engineering (DAFNE) University of Foggia Foggia Italy.
M CaropreseDepartment of Agriculture, Food Natural Resources, and Engineering (DAFNE) University of Foggia Foggia Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change is a phenomenon that includes different dramatic events that deeply affect the physiology of animal species both directly and indirectly with qualitative-quantitative impacts on livestock performances and health. The implications of climate change on animal welfare and on production demand are complex and call for a multidisciplinary approach which involved both animal science and economic sciences. The current technical report will describe the activities performed by the fellow while placed at the University of Foggia, Department of Agriculture, Natural Resources and Engineering, in Italy. Furthermore, the work programme offered by the hosting site consisted in performing a systematic literature review, following the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) Statement, and a quantitative synthesis of the literature on the impact of climate change events (e.g. heat stress) on livestock welfare and productivity and the effect of heat relieving strategies on the animals' performance.

Indexed as

climate changeheat stresslivestock welfare and productionmeta‐analysissystematic literature review

Identifiers

PMID35634557
PMCPMC9131578

What OpenQuestion holds

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LicenceCC BY-ND
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.