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Follow-up of Patients With Keratinocyte Carcinoma

2022· review· en· W4307967231 on OpenAlexaff
Sara Mirali, Evan Tang, Aaron M. Drucker, Irina Turchin, Melinda Gooderham, N. J. Levell, Jennifer Beecker, Robert Bissonnette, Helen Catherall, Jo‐Ann Lapointe McKenzie, Nicole A. Hawkins, Chih-ho Hong, Sunil Kalia, Kim Papp, An‐Wen Chan

Bibliographic record

VenueJAMA Dermatology · 2022
Typereview
Languageen
FieldMedicine
TopicNonmelanoma Skin Cancer Studies
Canadian institutionsUniversity of CalgaryOttawa HospitalWomen's College HospitalQueen's UniversityInnovaderm (Canada)Probity Medical ResearchUniversity of British ColumbiaSKiN HealthUniversity of Toronto
Fundersnot available
KeywordsMedicineBasal cell carcinomaGuidelineMEDLINECritical appraisalSkin cancerDermatologyBasal cellInternal medicineCancerPathologyAlternative medicine

Abstract

fetched live from OpenAlex

Importance: Patients treated for cutaneous squamous cell carcinoma (SCC) and basal cell carcinoma (BCC), collectively called keratinocyte carcinoma (KC), are at risk for recurrence, metastasis, and additional primary cutaneous malignant neoplasms. It is unclear how often patients should be seen for follow-up skin examination after initial treatment of KC. Objective: To summarize the recommendations and evaluate the methodological quality of clinical practice guidelines for dermatologic follow-up of patients with BCC and invasive SCC. Evidence Review: PubMed, MEDLINE, and Embase were searched for relevant articles published from January 2010 to March 2022. Search terms included guideline, squamous cell carcinoma, and basal cell carcinoma. National or international guidelines containing recommendations for follow-up frequency after a diagnosis of localized cutaneous KC were included. Quality was assessed using the 6 domains of the Appraisal of Guidelines Research and Evaluation II (AGREE II) tool: (1) scope and purpose; (2) stakeholder development; (3) rigor of development; (4) clarity of presentation; (5) applicability; and (6) editorial independence. The Preferred Reporting Items for Systematic Review and Meta-analysis Protocols (PRISMA-P) was used to guide study reporting. Findings: Among the 14 guidelines meeting eligibility criteria, there was little consensus on the appropriate follow-up frequency after initial KC treatment. Overall duration of follow-up ranged from a single posttreatment visit to lifelong surveillance. Most guidelines stratified their recommendations by recurrence risk. For low-risk BCC and guidelines that did not stratify by risk, follow-up recommendations ranged from every 6 to 12 months. For high-risk BCC, 1 guideline suggested follow-up every 3 months, while 4 recommended every 6 months. For low-risk SCC, 5 guidelines recommended annual follow-up; 3 guidelines, every 6 months; and 1 guideline, every 3 months. For high-risk SCC, recommendations included a range of follow-up frequencies, spanning every 3 months (n = 5 guidelines), 4 months (n = 1), 6 months (n = 6), or annually (n = 4). One guideline did not use risk stratification and recommended annual screening. The highest scoring AGREE II domain was "scope and purpose," which assessed the guideline's overall objectives, and the lowest scoring was "applicability," which assessed barriers and facilitators to implementation. Conclusions and Relevance: The findings of this systemic review highlight variations in follow-up recommendations for patients after initial treatment for KC. Randomized clinical trials are needed to define an optimal follow-up regimen.

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)0.020
metaresearch head score (Gemma)0.114
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.020
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.114
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0030.004
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.035
GPT teacher head0.297
Teacher spread0.263 · 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
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".

Quick stats

Citations12
Published2022
Admission routes1
Has abstractyes

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