Evidence map›Paper›PMID 31468109›Full record

ArticleInternational journal of colorectal disease2019

Mortality trends of colorectal cancer among overweight patients at the global and national levels.

Fei Cao, Feng Li, Lei Shi, Lei Zhang, Tianjiang Ma, Guoyao Zhang

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Article in International journal of colorectal disease, 2019. 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

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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

6 authors.

Fei CaoDepartment of Oncology, Luohe Central Hospital, People's East Road 54, Luohe City, 462000, Henan Province, China.
Feng LiDepartment of General Surgery, People's Hospital of Shenqiu, Zhoukou City, 466000, Henan Province, China.
Lei ShiDepartment of Oncology, Luohe Central Hospital, People's East Road 54, Luohe City, 462000, Henan Province, China.
Lei ZhangDepartment of Oncology, Luohe Central Hospital, People's East Road 54, Luohe City, 462000, Henan Province, China.
Tianjiang MaDepartment of Oncology, Luohe Central Hospital, People's East Road 54, Luohe City, 462000, Henan Province, China.
Guoyao ZhangDepartment of Oncology, Luohe Central Hospital, People's East Road 54, Luohe City, 462000, Henan Province, China. guoyaozhang_123@163.com.ORCID http://orcid.org/0000-0003-0536-4260

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeColorectal cancer (CRC) is a commonly diagnosed malignancy with highly heterogeneous incidence and mortality rates worldwide. High body mass index (BMI) is a well-defined risk factor for CRC. The mortality trends of CRC among patients who are overweight contributions at the global and national levels are largely unknown.

methodWe collected data on CRC-related mortality attributable to high BMI from 1990 to 2017 from the Global Burden of Disease Study 2017 database. The annual average percentage change (AAPC) was used to quantify the CRC age-standardized mortality rate (ASMR) trends.

resultsGlobally, approximately 896,040 CRC-related deaths occurred in 2017, among which 73,222 (8.2%; 54,193 in men and 19,029 in women) deaths were attributable to high BMI. The high-BMI-related CRC ASMR increased from 0.81 per 100,000 in 1990 to 0.93 per 100,000 in 2017, with an AAPC of 0.42 (95% CI 0.36, 0.49). The increasing trend was consistent among populations of different sexes and ages. A more pronounced increase was found in men and in regions with middle or low socio-demographic indexes.

conclusionThe increase in high-BMI-related CRC mortality suggests scarce attention to overweight in the current prevention strategies and highlights its priority in future prevention strategies for CRC.

Indexed as

InternationalityAdolescentAdultAgedBody Mass IndexColorectal NeoplasmsFemaleGeographyHumansMaleMiddle AgedMortalityOverweightTime FactorsYoung AdultColorectal cancerGlobal burden of diseaseHigh BMIMortality

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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.