Evidence map›Paper›PMID 41312925›Full record

SynthesisAsian Pacific journal of cancer prevention : APJCP2025

Disparities in Human Papillomavirus Vaccination and Cervical Cancer Prevention and Screening Strategies: A Meta-Analysis.

Tunchanok Juntamongkol, Noppachai Siranart, Somkiat Phutinart, Chanawee Chitwarodom, Tanattida Kassels, Panchaya Tachapornsin, Pranyu Leemingsawat, Patavee Pajareya, Natacha Phoolcharoen

Abstract readMeta-Analysis
In one paragraph

Synthesis in Asian Pacific journal of cancer prevention : APJCP, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Experiences and challenges of North Korean defectors with cervical cancer: a qualitative study using thematic analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  2. Review
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

9 authors.

Tunchanok JuntamongkolDepartment of Obstetrics and Gynecology, King Chulalongkorn Memorial Hospital, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.ORCID 0009-0000-2964-7201
Noppachai SiranartDivision of Gastroenterology, Hepatology and Endoscopy, Brigham and Women's Hospital, Boston, Massachusetts, USA.ORCID 0000-0003-3315-6020
Somkiat PhutinartDepartment of Obstetrics and Gynecology, King Chulalongkorn Memorial Hospital, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.ORCID 0000-0002-4189-3621
Chanawee ChitwarodomFaculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Tanattida KasselsFaculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Panchaya TachapornsinFaculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Pranyu LeemingsawatFaculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Patavee PajareyaFaculty of Medicine, Chulalongkorn University, Bangkok, Thailand.ORCID 0009-0001-5647-346X
Natacha PhoolcharoenDepartment of Obstetrics and Gynecology, King Chulalongkorn Memorial Hospital, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.ORCID 0000-0002-2547-7740

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSociodemographic disparities continue to impact access to cervical cancer screening and treatment outcomes. Although advancements in preventive and therapeutic strategies have contributed to reductions in cervical cancer incidence and mortality, inequities in healthcare access remain largely influenced by social gradients and limited health literacy.

methodThis study aimed to investigate the influence of factors such as age, race, socioeconomic status, educational attainment, and insurance coverage on cervical cancer mortality and participation in preventive measures, including HPV vaccination and cervical cancer screening. A systematic search of the MEDLINE, EMBASE, and Cochrane databases was conducted through January 2024. Eligible studies examined associations between disparities, defined as differences in race, social determinants of health, treatment modalities, and cervical cancer prevention or mortality. Data were synthesized using a random-effects meta-analysis, supplemented by subgroup analyses and multiple meta-regression models.

resultsA total of 69 studies met the inclusion criteria. Screening participation was higher among individuals who were non-Black, had attained higher education levels, were publicly insured, were married, and had a higher income. In contrast, higher cervical cancer mortality rates were observed among individuals who were Black, uninsured, less educated, unmarried, or those who either did not receive treatment or underwent surgery alone.

conclusionSignificant disparities persist in access to cervical cancer prevention services and in mortality outcomes. These findings highlight the urgent need for policy interventions aimed at addressing economic, social, and racial barriers to equitable healthcare access.

Indexed as

Early Detection of CancerHealthcare DisparitiesPapillomavirus InfectionsPapillomavirus VaccinesUterine Cervical NeoplasmsVaccinationFemaleHealth Services AccessibilityHuman Papillomavirus VirusesHumansPapillomavirus VaccinesCervical cancerDisparitymortalityPreventionScreening

Identifiers

PMID41312925
PMCPMC12936133

What OpenQuestion holds

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LicenceCC BY-NC
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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.