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Thrombocytosis as a predictor of poor prognosis in colorectal cancer patients.

2016· article· en· W2589726725 on OpenAlexaffabout
Ravi Ramjeesingh, Amie Jones, Christine Orr, Corey Sean Bricks, Wilma M. Hopman, Nazik Hammad

Bibliographic record

VenueJournal of Clinical Oncology · 2016
Typearticle
Languageen
FieldMedicine
TopicInflammatory Biomarkers in Disease Prognosis
Canadian institutionsQueen's UniversityNova Scotia Cancer CentreDalhousie University
Fundersnot available
KeywordsThrombocytosisMedicineInternal medicineColorectal cancerGastroenterologyProportional hazards modelCancerUnivariate analysisPopulationPathologicalLymph nodeMultivariate analysisStage (stratigraphy)OncologyPlatelet

Abstract

fetched live from OpenAlex

540 Background: Thrombocytosis has been identified as a prognostic factor in many cancer types including ovarian, breast, and lung cancers. In colorectal cancer (CRC), the literature is divided. Several smaller case studies suggest a negative prognosis in CRC patients with pre-operative thrombocytosis, a larger population study contradicts this. Methods: We performed a retrospective chart review of CRC patients treated at the Cancer Center of Southeastern Ontario diagnosed from January 2005 to December 2011. 1304 confirmed CRC patient charts were identified and patient, tumor, blood work and treatment variables were extracted. Results: 1,096 patients had platelet count available at the time of oncology consult. 222 (20.3%) were characterized as having thrombocytosis (>400x109/L). No difference was identified between those with normal and with thrombocytosis with regards to age, sex, comorbidities, and BMI. However, a statistically significant difference was identified when looking at several pathological characteristics. Significantly more patients with thrombocytosis presented with stage 4 disease (p<0.0001). Additionally less early T-stage (T1: p<0.05, T2: p<0.001), lymph node positivity (p<0.05) and LVI (p<0.05) was identified. Univariate analysis identified a significant difference in survival (1yr: 71.6% vs 88.1%, p<0.0001; 2 yr: 58.1% vs 78.1%, p<0.0001; 5yr: 48.2% vs 64.7%, p<0.0001). Multivariate Cox regression analysis, identified a statistically significant effect of thrombocytosis on risk of dying (HR=1.434, C.I 1.153-1.784, p=0.001). A survival difference was primarily identified in the Stage 4 population (1yr: 55.8% with thrombocytosis vs 72.9% with normal platelet count, p=0.0058; 2 yr: 36.0% vs 50.2%, p=0.0388; 5yr: 26.7% vs 32.0%, p=0.4042). There were no differences in the number of metastatic sites or the number of days on chemotherapy to account for the survival difference. Conclusions: Thrombocytosis, at the time of oncology consultation appears to predict a lower chance of survival in CRC patients, especially in the stage 4 population. Further work is required to elucidate the mechanism of action between elevated platelet counts and survival.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.063
GPT teacher head0.431
Teacher spread0.368 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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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Citations1
Published2016
Admission routes2
Has abstractyes

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