Evidence map›Paper›PMID 41584365›Full record

ArticleBMJ oncology2026

Global determinants of cervical cancer outcomes: a health systems analysis.

Adrian Eleazar Go, Erin Jay Garbes Feliciano, Juana Martinez, Frances Dominique V Ho, James Fan Wu, Jonas Willmann, Kaitlyn Lapen, Hannah Hugo, Yujin Jeong, Angelica Singh and 19 more

Abstract read
In one paragraph

Article in BMJ oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. 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

29 authors.

Adrian Eleazar GoCebu Institute of Medicine, Cebu City, Philippines.
Erin Jay Garbes FelicianoDepartment of Medicine, NYC Health and Hospitals Elmhurst, Elmhurst, New York, USA.
Juana MartinezDepartment of Medicine, Division of Hematology/Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Frances Dominique V HoUniversity of the Philippines Manila College of Medicine, Manila, Philippines.
James Fan WuDivision of Hematology and Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Jonas WillmannDepartment of Radiation Oncology, University Hospital Zurich, Zürich, Switzerland.
Kaitlyn LapenDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Hannah HugoDepartment of Medicine, NYC Health and Hospitals Elmhurst, Elmhurst, New York, USA.
Yujin JeongDepartment of Medicine, NYC Health and Hospitals Elmhurst, Elmhurst, New York, USA.
Angelica SinghDepartment of Medicine, NYC Health and Hospitals Elmhurst, Elmhurst, New York, USA.
Alberto Busmail HaylockDepartment of Medicine, NYC Health and Hospitals Elmhurst, Elmhurst, New York, USA.
Nagma ShahDepartment of Medicine, NYC Health and Hospitals Elmhurst, Elmhurst, New York, USA.
Janine Patricia G RobredoAdriadne Labs, Harvard T H Chan School of Public Health, Boston, Massachusetts, USA.
Michelle Ann B EalaUniversity of the Philippines Manila College of Medicine, Manila, Philippines.
Rohan K PatelDepartment of Radiation Oncology, UH Seidman Cancer Center, Cleveland, Ohio, USA.
Jenny ChenDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Megan Lorenza L CabaeroCornell University, Ithaca, New York, USA.
Davidi TawfilesUniversity of Pennsylvania, Philadelphia, Pennsylvania, USA.
Shivaek VenkateswaranUniversity of Pennsylvania, Philadelphia, Pennsylvania, USA.
Anderson Kirk Nigel G TanUniversity of the Philippines Manila College of Medicine, Manila, Philippines.
Bishal GyawaliQueen's University, Kingston, Ontario, Canada.ORCID https://orcid.org/0000-0001-7444-8594
Fabio Y MoraesDepartment of Radiology and Oncology, University of Sao Paulo, São Paulo, Brazil.
Puneeth IyengarDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Nancy Y LeeDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Victoria L MangoDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Neil K TaunkDepartment of Radiation Oncology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Maria Jocelyn Kara Magsanoc-AlikpalaICanServe Foundation, Manila, Philippines.
T Peter KinghamDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Edward Christopher DeeDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID https://orcid.org/0000-0001-6119-0889

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Objective: Significant global health disparities persist in cervical cancer, with over 85% of cases and deaths occurring in low- and middle-income countries (LMICs). In many settings, access to screening, vaccination and treatment is limited. Despite cervical cancer being largely preventable through human papillomavirus (HPV) vaccination and early detection, many women around the world face inadequate healthcare infrastructure, lack of awareness, cultural stigma and gender barriers to seeking care. Therefore, we evaluated global health system metrics that may inform efforts to improve equity in access to cervical cancer care globally. Methods and analysis: We derived estimates of age-standardised mortality-to-incidence ratios (MIRs) for female patients with cervical cancer of all ages from the Global Cancer Observatory (GLOBOCAN 2022 database), with complete data available for 121 of 185 countries in the database. We selected the following health system metrics: health spending as a per cent of gross domestic product (GDP), physicians/1000 population, nurses and midwives/1000 population, surgical workforce/1000 population, GDP per capita, Universal Health Coverage Service Coverage Index (UHC index), availability of pathology services, Human Development Index (HDI), Gender Inequality Index (GII) (a combined metric of health, empowerment and economic agency), radiotherapy centres/1000 population, out-of-pocket expenditure as percentage of current health expenditure, availability of cervical cancer screening, and HPV coverage.We evaluated the association between MIR and each metric using univariable linear regressions. To account for multiple comparisons, a Bonferroni correction using a p<0.0045 was applied. Metrics meeting this threshold were included in multivariable models. Variation inflation factor (VIF) allowed exclusion of variables with significant multicollinearity. R Results: On univariable analysis, 12 of the 13 metrics were significantly associated with MIR of cancer (p<0.001 for all). HPV coverage was not significantly associated with MIR (β=-0.0007, p=0.290). After including metrics that were significant on univariable analysis, HDI demonstrated significant collinearity (VIF=19). Therefore, after correcting for multicollinearity, the final multivariable model with 11 variables had R Conclusion: This comprehensive and global analysis of health system metrics suggests promoting progress towards UHC and strengthening the nursing/midwifery workforce may be independently associated with improved cervical cancer MIR. Furthermore, greater gender inequality was associated with worse MIR. These findings may inform efforts to improve global cervical cancer care and underscore the importance of reducing gender inequality to improve global cervical cancer outcomes.

Indexed as

Cancer screeningCervical cancerHealth economicsNursingRadiation oncology

Identifiers

PMID41584365
PMCPMC12829353

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.