Evidence map›Paper›PMID 38629007›Full record

ReviewCureus2024

An Exploratory Bibliometric Analysis of African Pharmacovigilance Research Output Using SCOPUS.

Josiah T Masuka

Abstract readReview
In one paragraph

Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Josiah T MasukaDermatology, Faculty of Health Sciences, University of Zimbabwe, Harare, ZWE.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most global pharmacovigilance (PV) data is derived from developed countries. However, the determinants of the differences in PV research output between developing and developed countries contributing to this discrepancy still need to be explored. The objective of the current study is to describe the publication trends and characteristics of pharmacovigilance-related research stemming out of Africa in comparison to that emanating from developed countries. A bibliometric analysis was carried out using the SCOPUS literature index for published global pharmacovigilance-related articles or documents pre-COVID-19. Data on annual publication trends, citations, author affiliations, and other study characteristics such as study funding were extracted and descriptively analyzed. Author co-citation and keyword co-occurrence analyses were also conducted and presented using VOSviewer software program version 1.6.15 (CWTS, Universiteit Leiden, Netherlands). During the period under review, a total of 27,516 documents were retrieved globally. Out of these, 588 (2.1 %), 9,438 (34.3 %), and 17,829 (64.8 %) were from Africa, Europe, and the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) founder member countries respectively. Annual publications have steadily increased, but at a slower rate in Africa compared to Europe. The mean annual publications and number of citations are significantly lower in Africa compared to Europe, p < 0.0001 for both parameters. The top 10 funders of African PV activities are European and American organizations. In conclusion, improved PV activity driven by international funders has been notable on the African continent. However, there is an increased need for local funding, government involvement, and legislation to improve PV activities on the African continent.

Indexed as

africabibliometric analysisdrug safetypharmacovigilancescientometrics

Identifiers

PMID38629007
PMCPMC11018517

What OpenQuestion 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 OpenQuestion graph.