Evidence map›Paper›PMID 37147640›Full record

SynthesisBMC public health2023

National cervical cancer burden estimation through systematic review and analysis of publicly available data in Pakistan.

Novera Chughtai, Kausar Perveen, Sehar Rahim Gillani, Aamir Abbas, Rumi Chunara, Afshan Ali Manji, Salima Karani, Ali Aahil Noorali, Maheen Zakaria, Uzma Shamsi and 5 more

Abstract readSystematic Review
In one paragraph

Synthesis in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

15 authors.

Novera Chughtai *Department of Obstetrics and Gynecology, Aga Khan University, Karachi, Pakistan.
Kausar Perveen *Department of Medicine, CITRIC Health Data Science Center, Aga Khan University, 1st Floor Faculty Office Building, Stadium Road, P.O. Box 3500, Karachi, 74800, Pakistan.
Sehar Rahim GillaniDepartment of Medicine, Aga Khan University, Karachi, Pakistan.
Aamir AbbasDepartment of Medicine, CITRIC Health Data Science Center, Aga Khan University, 1st Floor Faculty Office Building, Stadium Road, P.O. Box 3500, Karachi, 74800, Pakistan.
Rumi ChunaraDepartment of Biostatistics, School of Global Public Health, New York University, New York, USA.
Afshan Ali ManjiDepartment of Medicine, CITRIC Health Data Science Center, Aga Khan University, 1st Floor Faculty Office Building, Stadium Road, P.O. Box 3500, Karachi, 74800, Pakistan.
Salima KaraniDepartment of Medicine, Aga Khan University, Karachi, Pakistan.
Ali Aahil NooraliDepartment of Medicine, Aga Khan University, Karachi, Pakistan.
Maheen ZakariaDepartment of Medicine, Aga Khan University, Karachi, Pakistan.
Uzma ShamsiDepartment of Community Health Sciences, Aga Khan University, Karachi, Pakistan.
Uzma ChishtiDepartment of Obstetrics and Gynecology, Aga Khan University, Karachi, Pakistan.
Adnan A KhanResearch and Development Solutions, Islamabad, Pakistan.
Sajid SoofiDepartment of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
Shahid PervezDepartment of Pathology and Laboratory Medicine, Aga Khan University, Karachi, Pakistan.
Zainab SamadDepartment of Medicine, CITRIC Health Data Science Center, Aga Khan University, 1st Floor Faculty Office Building, Stadium Road, P.O. Box 3500, Karachi, 74800, Pakistan. Samad.zainab@aku.edu.

Funding

The Aga Khan University Pakistan Initiative for Non-Communicable Diseases (AKUPI-NCDs) Research Training ProgramD43TW011625 · FIC · AGA KHAN UNIVERSITY (PAKISTAN) · PI Gerald Samuel Bloomfield, Zainab Samad · 2021 to 2026
$1.4M
Bill & Melinda Gates Foundation INV-021944FIC NIH HHS D43 TW011625
6 · The paper itself

Abstract

backgroundCervical cancer is a major cause of cancer-related deaths among women worldwide. Paucity of data on cervical cancer burden in countries like Pakistan hamper requisite resource allocation.

objectiveTo estimate the burden of cervical cancer in Pakistan using available data sources.

methodsWe performed a systematic review to identify relevant data on Pakistan between 1995 to 2022. Study data identified through the systematic review that provided enough information to allow age specific incidence rates and age standardized incidence rates (ASIR) calculations for cervical cancer were merged. Population at risk estimates were derived and adjusted for important variables in the care-seeking pathway. The calculated ASIRs were applied to 2020 population estimates to estimate the number of cervical cancer cases in Pakistan.

resultsA total of 13 studies reported ASIRs for cervical cancer for Pakistan. Among the studies selected, the Karachi Cancer Registry reported the highest disease burden estimates for all reported time periods: 1995-1997 ASIR = 6.81, 1998-2002 ASIR = 7.47, and 2017-2019 ASIR = 6.02 per 100,000 women. Using data from Karachi, Punjab and Pakistan Atomic Energy Cancer Registries from 2015-2019, we derived an unadjusted ASIR for cervical cancer of 4.16 per 100,000 women (95% UI 3.28, 5.28). Varying model assumptions produced adjusted ASIRs ranging from 5.2 to 8.4 per 100,000 women. We derived an adjusted ASIR of 7.60, (95% UI 5.98, 10.01) and estimated 6166 (95% UI 4833, 8305) new cases of cervical cancer per year.

conclusionThe estimated cervical cancer burden in Pakistan is higher than the WHO target. Estimates are sensitive to health seeking behavior, and appropriate physician diagnostic intervention, factors that are relevant to the case of cervical cancer, a stigmatized disease in a low-lower middle income country setting. These estimates make the case for approaching cervical cancer elimination through a multi-pronged strategy.

Indexed as

Uterine Cervical NeoplasmsCervix UteriCost of IllnessFemaleGlobal Burden of DiseaseHumansIncidencePakistanRisk FactorsCancerPublic healthScreeningSystematic reviewVaccine

Identifiers

PMID37147640
PMCPMC10163779

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.