Evidence map›Paper›PMID 33585125›Full record

ArticleCureus2021

Trends in the Usage of Statistical Software and Their Associated Study Designs in Health Sciences Research: A Bibliometric Analysis.

Emad Masuadi, Mohamud Mohamud, Muhannad Almutairi, Abdulaziz Alsunaidi, Abdulmohsen K Alswayed, Omar F Aldhafeeri

Abstract read
In one paragraph

Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
–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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  18. Observational
  19. Ten Simple Rules for Making a Career Transition from Basic Science to Public Health Research.International journal of environmental research and public health · 2025
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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.

Emad MasuadiResearch Unit/Biostatistics, King Saud bin Abdulaziz University for Health Sciences, College of Medicine/King Abdullah International Medical Research Centre, Riyadh, SAU.
Mohamud MohamudResearch Unit/Epidemiology, King Saud bin Abdulaziz University for Health Sciences, College of Medicine, Riyadh, SAU.
Muhannad AlmutairiMedicine, King Saud bin Abdulaziz University for Health Sciences, College of Medicine, Riyadh, SAU.
Abdulaziz AlsunaidiMedicine, King Saud bin Abdulaziz University for Health Sciences, College of Medicine, Riyadh, SAU.
Abdulmohsen K AlswayedMedicine, King Saud bin Abdulaziz University for Health Sciences, College of Medicine, Riyadh, SAU.
Omar F AldhafeeriMedicine, King Saud bin Abdulaziz University for Health Sciences, College of Medicine, Riyadh, SAU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The development of statistical software in research has transformed the way scientists and researchers conduct their statistical analysis. Despite these advancements, it was not clear which statistical software is mainly used for which research design thereby creating confusion and uncertainty in choosing the right statistical tools. Therefore, this study aimed to review the trend of statistical software usage and their associated study designs in articles published in health sciences research. Methods This bibliometric analysis study reviewed 10,596 articles published in PubMed in three 10-year intervals (1997, 2007, and 2017). The data were collected through Google sheet and were analyzed using SPSS software. This study described the trend and usage of currently available statistical tools and the different study designs that are associated with them. Results Of the statistical software mentioned in the retrieved articles, SPSS was the most common statistical tool used (52.1%) in the three-time periods followed by SAS (12.9%) and Stata (12.6%). WinBugs was the least used statistical software with only 40(0.6%) of the total articles. SPSS was mostly associated with observational (61.1%) and experimental (65.3%) study designs. On the other hand, Review Manager (43.7%) and Stata (38.3%) were the most statistical software associated with systematic reviews and meta-analyses. Conclusion In this study, SPSS was found to be the most widely used statistical software in the selected study periods. Observational studies were the most common health science research design. SPSS was associated with observational and experimental studies while Review Manager and Stata were mostly used for systematic reviews and meta-analysis.

Indexed as

healthcare publicationspubmedsasspssstatastatistical softwarestudy design

Identifiers

PMID33585125
PMCPMC7872865

What OpenQuestion holds

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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.