Evidence map›Paper›PMID 32610674›Full record

ArticleAnimals : an open access journal from MDPI2020

Bias and Misrepresentation of Science Undermines Productive Discourse on Animal Welfare Policy: A Case Study.

Kelly Jaakkola, Jason N Bruck, Richard C Connor, Stephen H Montgomery, Stephanie L King

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2020. 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. Review
  2. Article
  3. Review
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.

Kelly JaakkolaDolphin Research Center, Grassy Key, FL 33050, USA.
Jason N BruckDepartment of Biology, Stephen F. Austin State University, Nacogdoches, TX 75962-3003, USA.
Richard C ConnorBiology Department, University of Massachusetts Dartmouth, North Dartmouth, MA, 02747, USA.
Stephen H MontgomerySchool of Biological Sciences, University of Bristol, Bristol, BS8 1TQ, UK.
Stephanie L KingSchool of Biological Sciences, University of Bristol, Bristol, BS8 1TQ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reliable scientific knowledge is crucial for informing legislative, regulatory, and policy decisions in a variety of areas. To that end, scientific reviews of topical issues can be invaluable tools for informing productive discourse and decision-making, assuming these reviews represent the target body of scientific knowledge as completely, accurately, and objectively as possible. Unfortunately, not all reviews live up to this standard. As a case in point, Marino et al.'s [1] review regarding the welfare of killer whales in captivity contains methodological flaws and misrepresentations of the scientific literature, including problematic referencing, overinterpretation of the data, misleading word choice, and biased argumentation. These errors and misrepresentations undermine the authors' conclusions and make it impossible to determine the true state of knowledge of the relevant issues. To achieve the goal of properly informing public discourse and policy on this and other issues, it is imperative that scientists and science communicators strive for higher standards of analysis, argumentation, and objectivity, in order to clearly communicate what is known, what is not known, what conclusions are supported by the data, and where we are lacking the data necessary to draw reliable conclusions.

Indexed as

animal welfarebiasbrain sizecaptivitykiller whalelegislationmanagementmisrepresentationorcapolicy

Identifiers

PMID32610674
PMCPMC7401611

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.