Evidence map›Paper›PMID 39838878›Full record

ArticleCancer reports (Hoboken, N.J.)2025

Utilization of a Joint Point Regression Model for Predicting Mortality Rates of Common Cancers in Babol City.

Pouyan Ebrahimi, Sara Khaleghi, Mohebat Vali, Sahar Delavari, Soraya Khafri, Mohsen Karami, Layla Shojaie, Hossein-Ali Nikbakht

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In one paragraph

Article in Cancer reports (Hoboken, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

8 authors.

Pouyan EbrahimiStudent Research Committee, Babol University of Medical Sciences, Babol, Iran.ORCID 0000-0003-2654-2169
Sara KhaleghiStudent Research Committee, Babol University of Medical Sciences, Babol, Iran.ORCID 0000-0002-8393-7514
Mohebat ValiStudent Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID 0000-0001-7733-2116
Sahar DelavariInstitute for the Developing Mind, Children's Hospital Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.ORCID 0000-0001-8886-4484
Soraya KhafriSocial Determinants of Health Research Center, Health Research Institute, Department of Biostatistics & Epidemiology, School of Public Health, Babol University of Medical Sciences, Babol, Iran.ORCID 0000-0002-2398-7560
Mohsen KaramiInfectious Diseases and Tropical Medicine Research Center, Health Research Institute, Department of Parasitology and Mycology, Babol University of Medical Sciences, Babol, Iran.ORCID 0000-0001-5577-2639
Layla ShojaieDivision of GI/Liver, Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.ORCID 0000-0002-5020-5181
Hossein-Ali NikbakhtSocial Determinants of Health Research Center, Health Research Institute, Department of Biostatistics & Epidemiology, School of Public Health, Babol University of Medical Sciences, Babol, Iran.ORCID 0000-0002-8556-431X

Funding

Babol University of Medical Sciences IR.MUBABOL.HRI.REC.1402.036
6 · The paper itself

Abstract

backgroundCancer is a major cause of mortality. Timely information about cancer mortality trends is essential for prioritizing health programs.

aimsThis study aims to use a Joint point regression model to predict the mortality rates of the top 10 common cancers in Babol City.

methodsThis cross-sectional study considered all registered cancer-related deaths from 2013 to 2021 in the Babol University of Medical Sciences' death registration and classification system. Crude and age-standardized rates and cancer trends were calculated and predicted for the next 5 years, overall and by type of cancer and gender.

resultsOver these 9years, 2417 deaths from the 10 common cancers were recorded. We observed an increase in mortality rates with a slope of 12.05% from 2013 to 2016, and a gentler slope of 3.2% from 2016 to 2021. Cancer mortality rates are predicted to increase by 6.43% in the next 5 years without intervention. Detailed analysis indicates that breast cancer will have the highest mortality rate during 2022-2026, rising by 13.6% annually. Predictions based on gender indicate that, breast cancer mortality will increase by 13.6% annually for women. Also, stomach cancer mortality rates will increase by 0.15% in men annually.

conclusionCancer mortality in Babol remains a significant public health issue with an increasing trend. Nevertheless, these rising mortality rates require urgent interventions, including cancer prevention programs, increased access to medical services, and improved quality of life.

Indexed as

NeoplasmsAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedModels, StatisticalMortalityRegistriesRegression AnalysisIranmortalityneoplasmstrends

Identifiers

PMID39838878
PMCPMC11751474

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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.