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Temporal trends and sources of variation in late-stage cervical cancer diagnosis in low- and middle-income countries: a systematic review and meta-analysis.

메타분석 2/5 보강
International journal of gynecological cancer : official journal of the International Gynecological Cancer Society 📖 저널 OA 11.3% 2024: 2/2 OA 2025: 0/8 OA 2026: 4/41 OA 2024~2026 2026 Vol.36(4) p. 104479 Cervical Cancer and HPV Research
TL;DR The strong association between lower Universal Health Coverage levels and late presentation suggests that health-system-level barriers, rather than only individual-level factors, are primary drivers.
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PubMed DOI OpenAlex Semantic 마지막 보강 2026-05-01
OpenAlex 토픽 · Cervical Cancer and HPV Research Global Cancer Incidence and Screening Global Maternal and Child Health

Ebrahimoghli R, Aghaei MH, Hakimi MH, Moradoghli F, Mehri S, Ghadimi S

📝 환자 설명용 한 줄

The strong association between lower Universal Health Coverage levels and late presentation suggests that health-system-level barriers, rather than only individual-level factors, are primary drivers.

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • p-value p = .002
  • p-value p < .001
  • 연구 설계 systematic review

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↓ .bib ↓ .ris
APA Reza Ebrahimoghli, Mir Hossein Agaei, et al. (2026). Temporal trends and sources of variation in late-stage cervical cancer diagnosis in low- and middle-income countries: a systematic review and meta-analysis.. International journal of gynecological cancer : official journal of the International Gynecological Cancer Society, 36(4), 104479. https://doi.org/10.1016/j.ijgc.2026.104479
MLA Reza Ebrahimoghli, et al.. "Temporal trends and sources of variation in late-stage cervical cancer diagnosis in low- and middle-income countries: a systematic review and meta-analysis.." International journal of gynecological cancer : official journal of the International Gynecological Cancer Society, vol. 36, no. 4, 2026, pp. 104479.
PMID 41720737 ↗

Abstract

[OBJECTIVE] Late-stage cervical cancer diagnosis is a key driver of mortality in resource-limited settings. We aimed to synthesize available evidence on late-stage presentation and subsequently analyze the sources of variation and temporal trends across low- and middle-income countries.

[METHODS] We performed a systematic review and random-effects meta-analysis of observational studies reporting stage distribution of invasive cervical cancer in low- and middle-income countries. We searched PubMed, Web of Science, Scopus, and Embase from inception to August 1, 2025. We pooled study proportions using the Freeman-Tukey double-arcsine transformation and DerSimonian-Laird random-effects models. Prespecified sub-group analyses assessed potential sources of heterogeneity. Temporal trends were also examined.

[RESULTS] Analysis of 132 studies (189,716 women) from 37 low- and middle-income countries yielded a pooled late-stage prevalence of 51.2% (95% confidence interval [CI] 48.2% to 54.2%, I = 98.9 %). Meta-regression identified the World Health Organization Universal Health Coverage index as a significant predictor of late-stage presentation (β = -0.0032, p = .002), whereas temporal analysis confirmed diagnostic stagnation over 3 decades (β = 0.003, p = .121). Significant variation was observed by region (Q = 44.90, p < .001), with the highest prevalence in Africa (55.9%, 95% CI 52.1% to 59.7%) and in low-income countries (55.9%, 95% CI 51.2% to 61.4%). Population-based registries reported significantly lower estimates (44.8%, 95% CI 38.4% to 51.2%) than clinical case series (Q = 9.43, p = .009). Sensitivity analyses confirmed that results were robust to study quality (p = .10) and staging frameworks (p = .40).

[CONCLUSIONS] One in 2 women in low- and middle-income countries is diagnosed at an advanced stage, with no significant improvement over time. The strong association between lower Universal Health Coverage levels and late presentation suggests that health-system-level barriers, rather than only individual-level factors, are primary drivers. Strengthening Universal Health Coverage frameworks and equitable screening access are quantitatively supported priorities to shift diagnosis toward earlier, curable stages.

🏷️ 키워드 / MeSH 📖 같은 키워드 OA만

🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반