Evidence map›Paper›PMID 31059527›Full record

ArticlePloS one2019

Extreme response style bias in burn survivors.

Pengsheng Ni, Molly Marino, Emily Dore, Lily Sonis, Colleen M Ryan, Jeffrey C Schneider, Alan M Jette, Lewis E Kazis

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

8 authors.

Pengsheng NiBoston University School of Public Health, Department of Health Law, Policy, and Management, Boston, Massachusetts, United States of America.ORCID 0000-0003-1774-2185
Molly MarinoBoston University School of Public Health, Department of Health Law, Policy, and Management, Boston, Massachusetts, United States of America.
Emily DoreBoston University School of Public Health, Department of Health Law, Policy, and Management, Boston, Massachusetts, United States of America.
Lily SonisBoston University School of Public Health, Department of Health Law, Policy, and Management, Boston, Massachusetts, United States of America.
Colleen M RyanDepartment of Surgery, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
Jeffrey C SchneiderHarvard Medical School, Boston, Massachusetts, United States of America.
Alan M JetteMGH Institute of Health Professions, Boston, Massachusetts, United States of America.
Lewis E KazisBoston University School of Public Health, Department of Health Law, Policy, and Management, Boston, Massachusetts, United States of America.

Funding

NCCDPHP CDC HHS U48 DP000055
6 · The paper itself

Abstract

This paper explores extreme response style to the Life Impact Burn Recovery Evaluation (LIBRE) Profile, a measure of social participation in burn survivors. We fit a Multidimensional Generalized Partial Credit Model (MGPCM) with a positive extreme response style (PERS) factor and compared this model with the original MGPCM, estimated the impact that PERS has on scores, and examined the personal characteristics that may result in an individual more likely to respond in a fashion that would inflate their true low scores. The average impact of the PERS, based upon the root mean squared bias, ranged from 0.27 to 0.50 of a standard deviation of the scale. Individuals who were older, had participated in a burn survivor support group, and had selected to self-administer the measure were less likely to have a high PERS bias that masks low scores. Future work can consider PERS when measuring the psychosocial impacts of burn injuries and other health conditions.

Indexed as

AdultBurnsFemaleHumansMaleSocial ParticipationSurvivors

Identifiers

PMID31059527
PMCPMC6502351

What OpenQuestion holds

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LicenceCC BY
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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.