Evidence map›Paper›PMID 42038989›Full record

ArticleInternational journal of women's health2026

Temporal Trends in Vulvar Cancer Cases and Associated Factors of Adverse Clinical Features: A 6-year Retrospective Study From a Tertiary Hospital in Indonesia.

Muhammad Habiburrahman, Danny Maesadatu Syaharutsa, Tofan Widya Utami, Andi Darma Putra, Fitriyadi Kusuma, Laila Nuranna, Hariyono Winarto

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Article in International journal of women's health, 2026. 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Muhammad HabiburrahmanDepartment of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK.ORCID 0000-0001-6372-8240
Danny Maesadatu SyaharutsaDivision of Gynecologic Oncology, Department of Obstetrics and Gynaecology, Faculty of Medicine, Universitas Indonesia, Central Jakarta, DKI Jakarta, Indonesia.ORCID 0000-0001-8809-5670
Tofan Widya UtamiDivision of Gynecologic Oncology, Department of Obstetrics and Gynaecology, Faculty of Medicine, Universitas Indonesia, Central Jakarta, DKI Jakarta, Indonesia.ORCID 0000-0002-0191-5902
Andi Darma PutraDivision of Gynecologic Oncology, Department of Obstetrics and Gynaecology, Faculty of Medicine, Universitas Indonesia, Central Jakarta, DKI Jakarta, Indonesia.ORCID 0000-0001-5286-5346
Fitriyadi KusumaDivision of Gynecologic Oncology, Department of Obstetrics and Gynaecology, Faculty of Medicine, Universitas Indonesia, Central Jakarta, DKI Jakarta, Indonesia.ORCID 0000-0001-9091-3716
Laila NurannaDivision of Gynecologic Oncology, Department of Obstetrics and Gynaecology, Faculty of Medicine, Universitas Indonesia, Central Jakarta, DKI Jakarta, Indonesia.ORCID 0000-0003-1662-1824
Hariyono WinartoDivision of Gynecologic Oncology, Department of Obstetrics and Gynaecology, Faculty of Medicine, Universitas Indonesia, Central Jakarta, DKI Jakarta, Indonesia.ORCID 0000-0002-2081-9238

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Vulvar cancer (VC) is a rare malignancy with limited data in Southeast Asia. This 6-year retrospective cohort study aims to characterize temporal trends in VC cases in Indonesia, describe patients' sociodemographic, obstetric, and clinicopathological features, and identify predictors of advanced stage and distant metastasis (DM). Patients and Methods: We analyzed 86 VC cases diagnosed between 2015 and 2020 at a tertiary hospital in Indonesia. Patients' sociodemographic and obstetric characteristics were described, and clinicopathological and treatment-related features were compared by stage and DM status. Temporal trends were assessed using Joinpoint regression, expressed as annual percentage change (APC). Subgroup analyses were conducted by age (<60 vs ≥60 years), residential status (rural vs urban), and DM presence (negative vs positive). Univariate and multivariate logistic regression identified predictors of advanced-stage VC and DM, with model performance evaluated using the area under the receiver operating characteristic curve (AUC). Results: The number of VC cases increased significantly over six years (APC +21.43%, p=0.034), with the highest growth observed among older patients, rural residents, and cases without DM (+25.53% vs +19.61%; +22.25% vs +19.08%; +30.50% vs +9.95%, respectively). Multivariate analysis identified urban residence (OR 5.12), right-sided lesion (OR 7.93), bilateral lesions (OR 10.25), and tumor volume ≥70 cm³ (OR 10.88) as independent predictors of advanced-stage VC (AUC 0.81, p<0.001). Predictors of DM included normal/underweight nutritional status (OR 5.50), presence of pain (OR 4.88), right-sided lesion (OR 13.80), and non-keratinized tumor subtype (OR 5.72) (AUC 0.80, p<0.001). Conclusion: The experience from an Indonesian referral hospital shows that the number of VC cases treated is rising, particularly among older adults, rural populations, and patients without DM. Specific clinicopathological features, including tumor laterality, bilaterality, volume, nutritional status, pain, and histological subtype, predict adverse outcomes, providing a foundation for improved risk stratification, early detection, and targeted management in underrepresented populations.

Indexed as

advanced-stage predictorsdistant metastasis predictorsIndonesiarural-urban disparitiestrend analysisvulvar cancer

Identifiers

PMID42038989
PMCPMC13109069

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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 OpenQuestion graph.