Evidence map›Paper›PMID 31345204›Full record

ArticleBMC public health2019

Estimates of past and future time trends in age-specific breast cancer incidence among women in Karachi, Pakistan: 2004-2025.

Sidra Zaheer, Nadia Shah, Syed Amir Maqbool, Noor Muhammad Soomro

Abstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
–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

45 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  14. Unraveling the Role ofPakistan journal of medical sciences · 2024
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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

4 authors.

Sidra ZaheerDepartment of Statistics, University of Karachi, Karachi, Pakistan. sidra.zaheer@duhs.edu.pk.
Nadia ShahSchool of Public Health, Dow University of Health Sciences, OJHA Campus, Suparco road, Karachi, Pakistan.
Syed Amir MaqboolDepartment of Clinical Oncology, Karachi Institute of Radiotherapy and Nuclear Medicine, Karachi, Pakistan.
Noor Muhammad SoomroOncology Department, Civil Hospital, Karachi, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe current demographic trends indicate that breast cancer will pose an even greater public health concern in future for Pakistan. Details on the incidence, disease severity and mortality in respect of breast cancer are limited and without such data, therefore, future health policies or systems in respect of this disease cannot be strategically planned or implemented. The aim of this study was to examine past trends of age-specific breast cancer incidence rates (2004-2015), and to estimate the future volume of breast cancer cases in Karachi through the year 2025.

methodsTwo statistical methods, namely the functional time series models and the log-linear regression model were used; additionally, their real forecasting efficacy in epidemic time series was also evaluated.

resultsIn the past, women aged 60-64 years had the highest overall breast cancer incidence rates, while from 2016 to 2025, large increases in breast cancer rates among women aged 50 to 64 years are expected. The total projected breast cancer incidence will increase by approximately 23.1% in 2020 to 60.7% in 2025. Cases of breast cancer diagnosed in younger women, aged 30-34 years, will increase from 70.7 to 130.6% in 2020 and 2025 relative to 2015.

conclusionsThe breast cancer incidence appeared to have been rising more rapidly among post-menopausal women (aged 55 to 59), while a stable increase in incidence in the youngest age group (15-29 years) of women is expected. The results also infer an expected increase in incidence cases of breast cancer among middle aged women in Karachi, Pakistan. An increase in the number of incident cases of cancer has implications for understanding the health-care needs of growing population and the subsequent demands on health-care system.

Indexed as

AdolescentAdultAgedAge DistributionBreast NeoplasmsFemaleForecastingHumansIncidenceMiddle AgedPakistanYoung AdultBreast cancer incidenceForecastingFunctional time series modelLog-linear regression model

Identifiers

PMID31345204
PMCPMC6659231

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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.