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Risk Factors for Cutaneous Squamous Cell Carcinoma Recurrence, Metastasis, and Disease-Specific Death

2016· review· en· W2236559807 on OpenAlexaboutno aff
Agnieszka K. Thompson, Benjamin Kelley, Larry J. Prokop, M. Hassan Murad, Christian L. Baum

Bibliographic record

VenueJAMA Dermatology · 2016
Typereview
Languageen
FieldMedicine
TopicNonmelanoma Skin Cancer Studies
Canadian institutionsnot available
FundersNational Center for Advancing Translational Sciences
KeywordsMedicineInternal medicineMeta-analysisMEDLINERelative riskOncologyDermatologyConfidence interval

Abstract

fetched live from OpenAlex

IMPORTANCE: To date, the magnitude of association and the quality of evidence for cutaneous squamous cell carcinoma (cSCC) and risk factors for outcomes have not been reviewed and analyzed systematically. OBJECTIVE: To systematically analyze all published data on risk factors for recurrence, metastasis, and disease-specific death (DSD) of cSCC. DATA SOURCES: Comprehensive search of Ovid MEDLINE In-Process & Other Non-Indexed Citations, MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, and Scopus, from each database's inception to May 14, 2015. STUDY SELECTION: Inclusion criteria were studies of at least 10 patients, comparative data for at least 1 cSCC risk factor, and an outcome of interest. Exclusion criteria were noncutaneous squamous cell carcinoma (SCC), anogenital SCC, inability to extract cSCC data from other malignancy data, SCC in situ, Marjolin ulcer, and genetic disorders predisposing to cSCC. DATA EXTRACTION AND SYNTHESIS: Two reviewers independently abstracted the data. Meta-analysis was performed using the random-effects model. Risk of bias was assessed by the Newcastle-Ottawa Scale. MAIN OUTCOMES AND MEASURES: A priori outcomes were recurrence, metastasis, and DSD. RESULTS: Thirty-six studies (17 248 patients with 23 421 cSCCs) were included. Significant risk factors for recurrence were the following: Breslow thickness exceeding 2 mm (risk ratio [RR], 9.64; 95% CI, 1.30-71.52), invasion beyond subcutaneous fat (RR, 7.61; 95% CI, 4.17-13.88), Breslow thickness exceeding 6 mm (RR, 7.13; 95% CI, 3.04-16.72), perineural invasion (RR, 4.30; 95% CI, 2.80-6.60), diameter exceeding 20 mm (RR, 3.22; 95% CI, 1.91-5.45), location on the temple (RR, 3.20; 95% CI, 1.12-9.15), and poor differentiation (RR, 2.66; 95% CI, 1.72-4.14). Significant risk factors for metastasis were: invasion beyond subcutaneous fat (RR, 11.21; 95% CI, 3.59-34.97), Breslow thickness exceeding 2 mm (RR, 10.76; 95% CI, 2.55-45.31), Breslow thickness exceeding 6 mm (RR, 6.93; 95% CI, 4.02-11.94), diameter exceeding 20 mm (RR, 6.15; 95% CI, 3.56-10.65), poor differentiation (RR, 4.98; 95% CI, 3.30-7.49), perineural invasion (RR, 2.95; 95% CI, 2.31-3.75), immunosuppression (RR, 1.59; 95% CI, 1.07-2.37), and location on the temple (RR, 2.82; 95% CI, 1.72-4.63), ear (RR, 2.33; 95% CI, 1.67-3.23), or lip (RR, 2.28; 95% CI, 1.54-3.37). Significant risk factors for DSD were: diameter exceeding 20 mm (RR, 19.10; 95% CI, 5.80-62.95), poor differentiation (RR, 5.65; 95% CI, 1.76-18.20), location on the ear (RR, 4.67; 95% CI, 1.28-17.12) or lip (RR, 4.55; 95% CI, 1.41-14.69), invasion beyond subcutaneous fat (RR, 4.49; 95% CI, 2.05-9.82), and perineural invasion (RR, 4.06; 95% CI, 3.10-5.32). Evidence quality was considered low to moderate. CONCLUSIONS AND RELEVANCE: Tumor depth is associated with the highest RR of local recurrence and metastasis of cSCC, and tumor diameter exceeding 20 mm is associated with the highest RR of DSD. Unified, consistent collection and reporting of risk factors in a prospective, multicentered effort are needed to further understand the increasing incidence of cSCC.

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)0.017
metaresearch head score (Gemma)0.079
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.017
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.079
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.011
Bibliometrics0.0080.009
Science and technology studies0.0000.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.050
GPT teacher head0.312
Teacher spread0.262 · 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 designNot applicable
Domainnot available
GenreReview

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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Citations508
Published2016
Admission routes1
Has abstractyes

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