Excel data extraction.

<div><p>Background</p><p>Cervical cancer is the fourth most prevalent type of cancer in women globally. Early detection and treatment of precancerous cervical lesions and human papillomavirus (HPV) infection are strongly advised to decrease the incidence of cervical cancer an...

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Detalhes bibliográficos
Autor principal:	Berihun Agegn Mengistie (18781020) (author)
Outros Autores:	Mihret Melese (16378425) (author), Ashebir Mamay Gebiru (21755530) (author), Mihret Getnet (11301893) (author), Amare Belete Getahun (20865359) (author), Worku Chekol Tassew (17700120) (author), Mikias Mered Tilahun (10834256) (author), Yosef Belay Bizuneh (9514120) (author), Habtu Kifle Negash (20324126) (author), Nebebe Demis Baykemagn (17827304) (author), Desale B. Asmamaw (21755533) (author), Amlaku Nigusie Yirsaw (20360950) (author), Alemken Eyayu Abuhay (19353287) (author), Desalegn Anmut Bitew (14265777) (author)
Publicado em:	2025
Assuntos:	Medicine Cell Biology Biotechnology Cancer Science Policy Infectious Diseases world health organization reference number crd42024518297 preferred reporting items international prospective register 84 %&# 8211 64 &# 8211 18 &# 8211 precancerous cervical lesions includes descriptive analysis egger &# 8217 327 study participants expanding screening programs women &# 8217 using google scholar pooled effect estimate examine publication bias amstar 2 ). cervical cancer screening publication bias cervical cancer study followed statistical analysis egger test combined estimate women globally empowering women eligible women xlink "> umbrella review strongly advised significantly associated science direct recommendations target prevalent type pooled uptake mortality across methodological quality measurement tool main objective large gap increase utilization income nations included studies human papillomavirus healthcare professionals funnel plot forest plots examined using effects model early detection
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Excel data extraction.

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