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Does a diagnosis of GIST predict a second primary cancer?

2013· article· en· W2603540638 on OpenAlexaff
Myles Smith, Alyson Mahar, Calvin Law, Yoo‐Joung Ko

Bibliographic record

VenueJournal of Clinical Oncology · 2013
Typearticle
Languageen
FieldMedicine
TopicMultiple and Secondary Primary Cancers
Canadian institutionsUniversity of TorontoSunnybrook Health Science CentreHealth Sciences CentrePediatric Oncology Group
Fundersnot available
KeywordsGiSTMedicineIncidence (geometry)MalignancyPopulationConfidence intervalRelative riskInternal medicineCancerCohortRetrospective cohort studyStage (stratigraphy)GastroenterologyOncology

Abstract

fetched live from OpenAlex

10537 Background: There have been reports of a high frequency of metachronous cancers in patients diagnosed with GIST. The purpose of this study was to identify and describe patients with GIST who develop second primary cancers, and to calculate standardized incidence ratios (SIRs) to quantify the risk of additional malignancy. Methods: This was a retrospective, population-based cohort study using SEER data. Individuals diagnosed with GIST from 2001-2009 were identified as having a malignant primary tumor in the digestive tract, and included the following sites: C15.0-C26.9; C48.0-48.8; C49.4-49.5; C80.9 and a recorded histology code of 8935 and 8936. This restricted timeframe was imposed to account for changes in the recording of GIST incidence. Individuals with a previous cancer diagnosis or diagnosed post mortem only were excluded. Multiple primary SIRs and 95% confidence intervals (CI) were calculated using SEER*Stat software (V.7.1.0) and compared to general population rates. The SIR was interpreted as an estimate of relative risk (RR). Comparison of characteristics between single and multiple cancer GIST patients was performed using chi-square tests, p-values of <0.05 were considered significant. Results: We identified n=1397 cases of GIST, of which 1291 analyzed. We observed a statistically significant increased incidence of second tumours in patients with a primary GIST (n=78, RR 1.36, 95% CI:1.1-1.7). Older age (p<0.001) and tumor grade (p=0.014) were associated with second primaries, with grade being the only significant variable remaining after logistic regression. In both sexes we observed a significantly increased incidence of kidney cancer (RR 4.3, 95% CI: 1.7-8.9). In females there was a 3 fold higher incidence of colon cancer (RR 2.96 95% CI: 1.2-6.1). Conclusions: Patients with a diagnosis of GIST have a higher incidence of second cancers when compared with standardized incidence in the general population. High grade GISTs were associated with an additional malignancy. Both sexes were observed to have increased incidence of kidney cancer, with females at an increased risk of developing colon cancer. As part of GIST surveillance, screening for colon cancer in females and kidney cancer in both sexes may be considered.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.386
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.080
GPT teacher head0.433
Teacher spread0.353 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2013
Admission routes1
Has abstractyes

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