Evidence map›Paper›PMID 30930710›Full record

ArticleSaudi journal of anaesthesia2019

Can the similarity index predict the causes of retractions in high-impact anesthesia journals? A bibliometric analysis.

Mohamed R El-Tahan

Abstract read
In one paragraph

Article in Saudi journal of anaesthesia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

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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

1 author.

Mohamed R El-TahanAnaesthesiology Department, College of Medicine, Imam Abdulrahman Bin Faisal University, Al Khubar, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe overall similarity index (OSI) and highest similarity scores (HSSs) from a single source might help to predict the potential reasons for the retraction from the anesthesia journals.

methodsRetracted publications, from five highest impact anesthesia journals, were retrieved from the MEDLINE and journal archives and analyzed using a plagiarism detection software (iThenticate) and manually verified for citation characteristics, OSI, HSS, and the presence, extent, and location of the duplicate text. The validity of the OSI including and excluding quotations and references and the HSS in predicting the potential reasons for retraction were tested using the receiver operating characteristic curves.

resultsOf the total 138 retracted original and corresponding articles identified, 131 articles were analyzed. Most of them had the HSS more than 40% arising from a single source. Extensive degree of plagiarism (OSI score >35%) was identified through the main text of all analyzed retracted articles. The areas under the curves indicate that the OSI including and excluding quotations and bibliography and the HSS had reasonable ability to predict plagiarism and fabrication with a perfect sensitivity rate and low specificity but were weaker at distinguishing ethical misconduct or inconsistent or erroneous contents.

conclusionsThe study highlights the presence of significant plagiarism in the retracted anesthesia publications irrespective to the reasons for retraction. The high OSI and the HSS could be useful tools to identify the potential manuscripts with high risks for plagiarism and fabrication.

Indexed as

AnesthesiaCrossCheckmisconductplagiarismretractionssimilarity index

Identifiers

PMID30930710
PMCPMC6398300

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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.