Gastrointestinal Cancer Precursor Conditions and Their Detection.

Asaf Maoz, Nicolette J Rodriguez, Matthew B Yurgelun, Sapna Syngal

Abstract readReview

In one paragraph

Review in Hematology/oncology clinics of North America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Asaf MaozDana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA 02215, USA; Harvard Medical School, Boston, MA, USA. Electronic address: https://twitter.com/asaf_maoz.

Nicolette J RodriguezHarvard Medical School, Boston, MA, USA; Division of Gastroenterology, Hepatology and Endoscopy, Brigham and Women's Hospital, 75 Francis Street, Boston MA 02115, USA; Division of Cancer Genetics and Prevention, 450 Brookline Avenue, Boston MA 02215, USA. Electronic address: https://twitter.com/Dr_NJRodriguez.

Matthew B YurgelunDana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA 02215, USA; Harvard Medical School, Boston, MA, USA. Electronic address: https://twitter.com/MattYurgelun.

Sapna SyngalDana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA 02215, USA. Electronic address: sapna_syngal@dfci.harvard.edu.

Funding

CTSA K12 Program at Harvard Medical SchoolK12TR004381 · NCATS · HARVARD MEDICAL SCHOOL · PI Karen K Miller · 2023 to 2026

$6.5M

NCATS NIH HHS K12 TR004381

6 · The paper itself

Abstract

Gastrointestinal cancers are a leading cause of cancer morbidity and mortality. Many gastrointestinal cancers develop from cancer precursor lesions, which are commonly found in individuals with hereditary cancer syndromes. Hereditary cancer syndromes have advanced our understanding of cancer development and progression and have facilitated the evaluation of cancer prevention and interception efforts. Common gastrointestinal hereditary cancer syndromes, including their organ-specific cancer risk and surveillance recommendations, are reviewed in this article. The management of common gastroesophageal, pancreatic, and colonic precursor lesions is also discussed, regardless of their genetic background. Further research is needed to advance chemoprevention and immunoprevention strategies.

Indexed as

Gastrointestinal NeoplasmsEarly Detection of CancerGenetic Predisposition to DiseaseHumansNeoplastic Syndromes, HereditaryPrecancerous ConditionsCancer detectionCancer preventionCDH1Hereditary pancreatic cancerLynch syndromePolyposis

Identifiers

PMID38760197

DOI10.1016/j.hoc.2024.04.002

PMCPMC11537157

What OpenQuestion holds

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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.