Evidence map›Paper›PMID 41966194›Full record

ArticleInternational journal of health policy and management2025

A Bibliometric and Visual Analysis of Cancer Screening Based on the Web of Science Core Collection Database.

Wanrong Dai, Baixu Wu, Jie Sun, Wuping Shuai, Shuying Han

Abstract read
In one paragraph

Article in International journal of health policy and management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

5 authors.

Wanrong DaiDepartment of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0009-0009-1749-6907
Baixu WuCUHK Business School, Hong Kong, China.ORCID 0009-0009-4281-6714
Jie SunDepartment of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Wuping ShuaiDepartment of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Shuying HanDepartment of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0001-9303-4768

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to systematically analyze the current research status, development trends, collaborative networks, and hot topics in the global cancer screening field using a bibliometric method. It sought to reveal the contributions and influences of different countries and institutions and explore potential directions for future research, providing a comprehensive basis for academia and policy-makers to optimize cancer screening strategies.

methodsWe searched the Web of Science Core Collection on October 15, 2023, using TS = (cancer screening) and DT = (Article), with no restrictions on the language or publication year. Only original research articles directly related to cancer screening were included; abstracts, comments, and non-research literature were excluded. VOSviewer was used for co-occurrence analysis to assess research status and hotspots. CiteSpace analyzed annual publication trends, collaboration networks among countries, institutions, journals, authors, and keywords.

resultsA total of 5223 articles were retrieved, showing a continuous growth trend in annual publication volume. The USA had the highest output (2418), followed by the UK and the Netherlands. Harvard University was the most productive institution (183).

conclusionResearch on cancer screening is rapidly advancing, with the USA leading in productivity and influence. Current research mainly focuses on CRC, CC, LC, and BC.

Indexed as

BibliometricsEarly Detection of CancerNeoplasmsDatabases, FactualHumansArtificial Intelligence (AI)BibliometricsCancer ScreeningVisualization Analysis

Identifiers

PMID41966194
PMCPMC12595571

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.