Evidence map›Paper›PMID 42882890›Full record

ReviewCancers2026

Second Primary Malignancies in Gastrointestinal Cancer Survivors: Epidemiology, Risk Factors, and Future Prediction Models.

Jyoti Yadav, Thomas Balizzakiwa, Hemant Goyal

Abstract readReview
In one paragraph

Review in Cancers, 2026. 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

3 authors.

Jyoti YadavThe Wright Center for Graduate Medical Education, Scranton, PA 18505, USA.
Thomas BalizzakiwaThe Wright Center for Graduate Medical Education, Scranton, PA 18505, USA.
Hemant GoyalBorland Groover, Baptist Medical Center-Downtown, Jacksonville, FL 32207, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in gastrointestinal (GI) cancer care have produced a growing population of long-term survivors at risk of second primary malignancies (SPMs). SPM definitions vary across studies, and SPMs remain underrepresented in cancer forecasting and prediction tools for GI cancer survivors. We conducted a narrative review across major GI cancer subtypes, summarizing site-specific SPM risk, key etiological pathways, and available prediction tools. Approximately one in ten colorectal cancer (CRC) survivors develops an SPM at ten years (pooled SIR ~1.15), a figure specific to CRC that does not generalize to other GI sites. Gastric cancer survivors carry excess risk of thyroid (O/E 2.00), esophageal, small intestinal, and pancreatic (O/E 1.60) malignancy, amplified by radiotherapy. Esophageal squamous cell carcinoma survivors show markedly elevated risk of upper aerodigestive tract tumors, consistent with field cancerization. Lynch syndrome (~16% second CRC risk at 10 years) and familial adenomatous polyposis (near-100% lifetime CRC risk without colectomy) confer some of the highest lifetime risks of metachronous GI malignancy reported to date. Most forecasting frameworks treat cancer incidence as a single event and do not adequately capture survivor-specific transitions, competing mortality, or germline susceptibility. GI cancer survivors form a distinct group whose risk is often overlooked. Harmonizing SPM definitions, extending multistate and competing-risk modeling, and integrating hereditary-risk stratification are near-term priorities for individualized surveillance.

Indexed as

cancer survivorshipcompeting riskfield cancerizationgastrointestinal cancerLynch syndromenomogramsecond primary malignancySEER

Identifiers

PMID42882890
PMCPMC13664306

What OpenQuestion holds

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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.