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Record W4400158150 · doi:10.12998/wjcc.v12.i21.4820

CronkhiteCanada syndrome complicated with pulmonary embolism: A case report

2024· article· en· W4400158150 on OpenAlexaboutno aff
Mao-Lang He, Yong Zheng

Bibliographic record

VenueWorld Journal of Clinical Cases · 2024
Typearticle
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRivaroxabanPulmonary embolismDeep veinColonoscopySurgeryDiseaseInternal medicineThrombosisWarfarinColorectal cancerCancer

Abstract

fetched live from OpenAlex

BACKGROUND: Cronkhite-Canada syndrome (CCS) is a rare disease, that causes gastrointestinal polyps, ectodermal abnormalities, and gastrointestinal symptoms. CCS is prone to thromboembolism, but clinical workers have not yet established a clinical consciousness of preventing thromboembolism. The present case illustrates pulmonary embolism (PE) complicated by CCS. CASE SUMMARY: A 46-year-old male patient presented with mucus, purulent, and bloody stool. Ectodermal changes included skin pigmentation, alopecia, and nail dystrophy. Colonoscopy revealed the presence of multiple polyps. After a comprehensive evaluation, the patient was diagnosed with CCS. During the disease, he was also diagnosed with pulmonary embolism, Riehl's melanosis, and intestinal flora imbalance. After symptomatic treatment with omeprazole, mesalazine, rivaroxaban, nutritional support, and regulation of intestinal flora, the patient's symptoms were significantly relieved. CONCLUSION: CCS complicated with PE was reported for the first time in China in this study. Despite the fact that CCS is extremely rare, patients with CCS should be classified as a high-risk venous thromboembolism (VTE) population, and emphasis should be placed on venous thromboembolism risk assessment and stratification, deep venous thromboembolism screening, prevention of VTE, and careful long-term follow-up.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.073
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.075
GPT teacher head0.402
Teacher spread0.327 · 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 designCase report
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".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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