Evidence map›Paper›PMID 39802976›Full record

ReviewPrzeglad gastroenterologiczny2024

Global burden of five major types of gastrointestinal cancer.

Arjun Singh

Abstract readReview
In one paragraph

Review in Przeglad gastroenterologiczny, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

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

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Outcomes That Matter in Gastrointestinal Cancer Care: A Focus Group Study of Patient-Centred Outcomes Identified by Patients and Care Partners.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
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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

1 author.

Arjun SinghDepartment of Medicine, Division of Gastroenterology and Hepatology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, US.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastrointestinal (GI) cancers cause major global morbidity and mortality, with over 5 million new cases and 3.5 million deaths in 2020. The most prevalent GI malignancies are colorectal, gastric, liver, oesophageal, and pancreatic cancers. Marked geographic variations exist, with high incidence in developed regions contrasting with high mortality in developing areas. These patterns reflect disparities in risk factors and cancer control capacities. However, GI cancer incidence is rising with economic growth and lifestyle changes. Poor prognosis and increasing burden underscore the critical need for expanded prevention and research. This review examines global epidemiology, risks, prevention, detection, treatment, and priorities for common GI cancers. Controlling the toll of GI malignancies requires coordinated global actions across prevention, screening, treatment access, and research. Key priorities include vaccination, reducing modifiable risks, improving screening, expanding care access, and advancing prevention/therapy research. Global commitments to evidence-based interventions and knowledge sharing are vital to curb the GI cancer epidemic.

Indexed as

colorectal cancergastrointestinal cancerliver canceroesophageal cancerpancreatic cancerstomach cancer

Identifiers

PMID39802976
PMCPMC11718493

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.