Evidence map›Paper›PMID 41275201›Full record

ArticleBMC public health2025

Tracking cancer hospitalizations: seventeen-year sex-specific trends in nationally representative hospitalization data on malignant neoplasms in Thailand (2007-2023).

Passakorn Suanrueang, Phuangthip Bhoopong

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

2 authors.

Passakorn SuanrueangDepartment of Health Education and Behavioral Sciences, Faculty of Public Health, Mahidol University, Bangkok, Thailand. passakorn27sr@gmail.com.ORCID http://orcid.org/0000-0002-1345-068X
Phuangthip BhoopongSchool of Allied Health Sciences, Walailak University, Nakhon Si Thammarat, Thailand.ORCID http://orcid.org/0000-0002-1216-1923

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundMalignant neoplasms remain a major public health concern in Thailand, as in several countries. There is limited research that has explored long-term sex-specific trends utilizing national hospital-based data. MethodsThis retrospective descriptive study examines 17 years of inpatient data obtained from publicly available sources from the Ministry of Public Health website, focusing on nine malignancy groups and 31 malignant neoplasm subtypes, classified by ICD-10 codes. The study aims to provide important insights into sex-specific patterns by presenting prevalence rates, illustrating trends, and differences between males and females over time.ResultsThe study revealed clear differentiation between sexes. Both males and females had the highest prevalence rates for ill-defined or secondary cancers (males:361.39; females: 379.33 per 100,000 population) by 2023. However, the subsequent ranking differed by sex. In males, the next most prevalent cancers over 100 per 100,000 population were gastrointestinal (GI) cancers, including liver (141.20), colon (139.53), and rectosigmoid junction and related organ cancers (111.70). In contrast, for females, breast cancer (184.58) and colon cancer (119.30), respectively, ranked highest.ConclusionsThis 17-year study highlights sex differences in cancer hospitalizations in Thailand, with men more affected by gastrointestinal, lung, and blood cancers, and women by breast and reproductive malignancies. The findings support targeted health policies and cancer health promotion and prevention efforts.

Indexed as

HospitalizationNeoplasmsAdolescentAdultAgedFemaleHumansMaleMiddle AgedPrevalenceRetrospective StudiesSex DistributionThailandYoung AdultCancersHospitalization ratesMalignanciesSex differencesTrends

Identifiers

PMID41275201
PMCPMC12754926

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.