Evidence map›Paper›PMID 37632865›Full record

ArticleJMIR dermatology2022

Spin in Abstracts of Systematic Reviews and Meta-analyses of Melanoma Therapies: Cross-sectional Analysis.

Ross Nowlin, Alexis Wirtz, David Wenger, Ryan Ottwell, Courtney Cook, Wade Arthur, Brigitte Sallee, Jarad Levin, Micah Hartwell, Drew Wright and 3 more

Open access · diamondAbstract read
In one paragraph

Article in JMIR dermatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Caught in the Web of Words: Do LLMs Fall for Spin in Medical Literature?Proceedings of machine learning research · 2025
    Article
  3. Article
  4. Review
  5. 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

13 authors at 6 institutions in 1 country.

Ross Nowlin *Office of Medical Student Research, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States.ORCID https://orcid.org/0000-0002-8994-1442
Alexis WirtzOffice of Medical Student Research, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States.ORCID https://orcid.org/0000-0003-4648-8817
David WengerOffice of Medical Student Research, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States.ORCID https://orcid.org/0000-0002-8920-1962
Ryan OttwellDepartment of Internal Medicine, University of Oklahoma College of Community Medicine, Tulsa, OK, United States.ORCID https://orcid.org/0000-0002-6574-2844
Courtney CookDepartment of Dermatology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.ORCID https://orcid.org/0000-0001-7188-3232
Wade ArthurDepartment of Internal Medicine, University of Arkansas for Medical Sciences, Fayetteville, AR, United States.ORCID https://orcid.org/0000-0001-5746-1148
Brigitte SalleeDepartment of Dermatology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.ORCID https://orcid.org/0000-0001-9310-0040
Jarad LevinDepartment of Dermatology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.ORCID https://orcid.org/0000-0002-7654-6064
Micah HartwellOffice of Medical Student Research, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States.ORCID https://orcid.org/0000-0001-6810-6571
Drew WrightSamuel J. Wood Library and C.V. Starr Biomedical Information Center, Weill Cornell Medical College, New York, NY, United States.ORCID https://orcid.org/0000-0002-1776-5427
Meghan SealeyDepartment of Statistics, Oklahoma State University, Stillwater, OK, United States.ORCID https://orcid.org/0000-0001-6261-6220
Lan ZhuDepartment of Statistics, Oklahoma State University, Stillwater, OK, United States.ORCID https://orcid.org/0000-0002-3991-8746
Matt VassarOffice of Medical Student Research, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States.ORCID https://orcid.org/0000-0003-2859-6152
Oklahoma State University Center for Health Sciences · USUniversity of Oklahoma Health Sciences Center · USOklahoma State University · USCornell University · USTulsa Community College · USUniversity of Arkansas for Medical Sciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpin is defined as the misrepresentation of a study's results, which may lead to misperceptions or misinterpretation of the findings. Spin has previously been found in randomized controlled trials and systematic reviews of acne vulgaris treatments and treatments of various nondermatological conditions.

objectiveThe purpose of this study was to quantify the presence of spin in abstracts of systematic reviews and meta-analyses of melanoma therapies and identify any related secondary characteristics of these articles.

methodsWe used a cross-sectional approach on June 2, 2020, to search the MEDLINE and Embase databases from their inception. To meet inclusion criteria, a study was required to be a systematic review or meta-analysis pertaining to the treatment of melanoma in human subjects, and reported in English. We used the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) definition of systematic reviews and meta-analyses. Data were extracted in a masked, duplicate fashion. We conducted a powered bivariate linear regression and calculated odds ratios for each study characteristic.

resultsA total of 200 systematic reviews met the inclusion criteria. We identified spin in 38% (n=76) of the abstracts. The most common type of spin found was type 3 (selective reporting of or overemphasis on efficacy outcomes or analysis favoring the beneficial effect of the experimental intervention), occurring 40 times; the least common was type 2 (title claims or suggests a beneficial effect of the experimental intervention not supported by the findings), which was not present in any included abstracts. We found that abstracts pertaining to pharmacologic interventions were 3.84 times more likely to contain spin. The likelihood of an article containing spin has decreased annually (adjusted odds ratio 0.91, 95% CI 0.84-0.99). No significant correlation between funding source or other study characteristics and the presence of spin was identified.

conclusionsWe have found that spin is fairly common in the abstracts of systematic reviews of melanoma treatments, but the prevalence of spin in these abstracts has been declining from 1992-2020.

Indexed as

melanomamelanoma treatmentmisinterpretationmisinterpreting dataskinskin cancerskin conditionsspin

Identifiers

PMID37632865
PMCPMC10334896
OpenAlexW4205147833

What Socratic 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 Socratic graph.