Evidence map›Paper›PMID 39440091›Full record

ArticleProceedings (Baylor University. Medical Center)2024

Disparity in trends and characteristics of early onset colorectal cancer: analysis from the National Inpatient Sample, 2016 to 2021.

Thanathip Suenghataiphorn, Pojsakorn Danpanichkul, Narathorn Kulthamrongsri, Kwanjit Duangsonk, Nwonukwuru Amadi

Abstract read
In one paragraph

Article in Proceedings (Baylor University. Medical Center), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

5 authors.

Thanathip SuenghataiphornDepartment of Internal Medicine, Griffin Hospital, Derby, Connecticut, USA.ORCID https://orcid.org/0000-0001-7811-7960
Pojsakorn DanpanichkulDepartment of Internal Medicine, Texas Tech University Health Science Center, Lubbock, Texas, USA.
Narathorn KulthamrongsriInternal Medicine, John A. Burns School of Medicine, University of Hawaii, Honolulu, Hawaii, USA.
Kwanjit DuangsonkDepartment of Microbiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Nwonukwuru AmadiDepartment of Internal Medicine, Griffin Hospital, Derby, Connecticut, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Colon cancer is the second most common cause of death in the United States. With an increasing number of patients diagnosed at younger ages, the disease remains a significant burden. However, recent data on early onset patients admitted with colon cancer are still limited. Methods: We utilized the 2016 to 2021 National Inpatient Sample to investigate trends and characteristics of colon cancer hospitalizations. Nonelective participants were divided into early onset and normal-age groups, with a cut point of 50 years old. In addition, we also investigated factors associated with the risk of inpatient mortality in the study population. Results: There were 26,903 early onset nonelective colon cancer hospitalizations in the population group, amounting to 11.91% of total colon cancer hospitalizations. No significant changes or trends were seen from 2016 to 2021. Compared to the normal-age population group, there was a disproportionate number of Blacks, Hispanics, and Asian Americans, as well as those with obesity and tobacco usage. Conclusion: Some demographic factors and comorbidities disproportionately affect early onset colon cancer patients when compared to the normal-age population group. Further investigations are necessary to combat the growing incidence of early onset colon cancer.

Indexed as

Agecolon cancerdisparitiesreal-world evidence

Identifiers

PMID39440091
PMCPMC11492710

What OpenQuestion holds

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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.