Evidence map›Paper›PMID 38445423›Full record

ArticleLa Tunisie medicale2023

Ahmed Ben Abdelaziz, Abdelnour Errafei, Youssef Zanina, Donia Ben Hassine, Asma Ben Abdelaziz, Mohamed Azzaza

Abstract readEnglish Abstract
In one paragraph

Article in La Tunisie medicale, 2023. 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

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

2 citing papers in PubMed.

  1. Article
  2. La Tunisie medicale · 2024
    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

6 authors.

Ahmed Ben AbdelazizFaculty of Medicine of Sousse, University of Sousse, Tunisia.
Abdelnour ErrafeiFaculty of Medicine of Sousse, University of Sousse, Tunisia.
Youssef ZaninaResearch Laboratory LR19SP01 "Performance Measurement and Support for Healthcare Facilities".
Donia Ben HassineResearch Laboratory LR19SP01 "Performance Measurement and Support for Healthcare Facilities".
Asma Ben AbdelazizSahloul Hospital of Sousse.
Mohamed AzzazaFaculty of Medicine of Sousse, University of Sousse, Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo identify the predictive factors for the publication of theses defended at the Faculty of Medicine of Sousse (FMSO) in Tunisia.

methodsThe development of the dissertation was studied following the interrogation of three databases "Medline", "Scopus" and "article @INIST" as well as "Scholar Google". The drafting quality of the thesis summary was assessed using a grid of 20 iso-weighted items. The predictors of publication were studied by binary logistic regression, with a significance level of 10%.

resultsOut of the 670 theses defended at the FMSO, the mention "proposal for the thesis prize" was awarded for 22% of the thesis students. These theses were of the "clinical" type in 68% of cases, 80% of which were in "case study" format. The writing quality was deemed satisfactory in 47% of the theses. The publication rate was only 10.3%. The univariate analysis found three factors determining the publication of theses: the field of non-clinical research: epidemiological or fundamental, good editorial quality and the mention "proposal for the thesis prize". After adjustment, the latter was the only independent predictor of the publication of the thesis (ORa=1.60[1.007-2.559]).

conclusionThis low rate of publication of theses at the FMSO illustrates the difficulties of thesis students and their directors in research methodology and scientific writing. Theses accepted with distinction must be better accompanied to facilitate their publication.

Indexed as

MedicineDatabases, FactualFacultyHumansMEDLINETunisia

Identifiers

PMID38445423
PMCPMC11217959

What OpenQuestion holds

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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.