Evidence map›Paper›PMID 38883926›Full record

ArticlePreventive medicine reports2024

Upper gastrointestinal bleeding as a warning sign of gastrointestinal cancer.

Haozhe Cui, Qinglun Gao, Zhiming Zhao, Xiangming Ma

Abstract read
In one paragraph

Article in Preventive medicine reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Haozhe CuiSchool of Medicine, Nankai University, Tianjin, China.
Qinglun GaoDepartment of Hepatobiliary Surgery, Shandong Provincial Third Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Zhiming ZhaoThe Faculty of Hepatopancreatobiliary Surgery, The First Medical Center, Chinese People's Liberation Army General Hospital, Beijing, China.
Xiangming MaDepartment of Hepatobiliary Surgery, Kailuan General Hospital, Tangshan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Upper gastrointestinal bleeding (UGIB) is a prevalent etiology for hospital admissions on a global scale. However, the significance of UGIB as a warning sign of gastrointestinal (GI) cancer is frequently disregarded due to its uncommon and atypical symptoms. Methods: In the Kailuan study, participants diagnosed with UGIB were assigned as the case group and were randomly matched in a 1:4 ratio with a control group of comparable age and sex from 2006 to 2018 in Tangshan. The statistical analysis included a total of 1250 UGIB patients and 5000 individuals without UGIB. The impact of UGIB on cancer incidence was evaluated using a Cox proportional hazards model, enabling the investigation of both site-specific and time-dependent effects of UGIB on cancer incidence. Results: The mean age of the patients was 60.91 ± 13.08 years. Over an average follow-up period of 8.92 years, there were 102 cases of cancer in the UGIB group and 210 cases in the non-UGIB group. The results of the Cox model analysis indicated that the strength of association between UGIB and cancer depends on specific cancer site. Excluding patients with follow-up periods of less than 1, 3, and 5 years weakened the associations between UGIB and GI cancer in sensitivity analysis. Conclusion: UGIB may serve as a sign of occult cancer, necessitating thorough evaluation of middle-aged and elderly patients presenting with this warning symptom to detect the possibility of missing a cancer diagnosis.

Indexed as

Cohortgastrointestinal (GI) cancerOccult cancerUpper gastrointestinal bleedingWarning sign

Identifiers

PMID38883926
PMCPMC11176783

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.