Evidence map›Paper›PMID 41877946›Full record

ReviewConsortium psychiatricum2025

Research Trends on Smoking, Depression, and Anxiety: Bibliometric Analysis.

Sujal Parkar, Mahek Zen, Abhishek Sharma

Abstract readReview
In one paragraph

Review in Consortium psychiatricum, 2025. 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

3 authors.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmoking, along with mental illnesses such as depression and anxiety, represents a major public health concern. Bibliometric analysis offers a distinct perspective on the connections between these conditions.

aimTo conduct a bibliometric analysis using network visualization mapping to explore research on smoking, depression, and anxiety.

methodsA literature search was performed using PubMed, Scopus, and Lens. The search used keywords "smoking", "nicotine dependence", "anxiety", and "depression". Data were extracted and analyzed using bibliometric indicators, including publication and citation trends, leading countries and organizations, influential authors, journals, and frequently occurring keywords. Network visualization mapping was performed by using VOSviewer software.

resultsA total of 138 papers were selected and reviewed based on the predefined eligibility criteria. These papers were published between 1991 and 2024. The analysis highlighted key trends: publications peaked in 2013 with 10 papers, while citations were highest in 2008 with 549. The most influential organizations were the Department of Preventive Medicine, University of Southern California, and the Department of Psychiatry, New York University School of Medicine. Naomi Breslau was identified as the most influential author, and

conclusionThis bibliometric analysis identified the scholarly impact and characteristics of publications and provides researchers and policymakers with baseline data to guide research strategies on smoking and mental health.

Indexed as

anxietybibliometric analysisdepressionnicotine dependencesmoking

Identifiers

PMID41877946
PMCPMC13008025

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.