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A Systematic Review of Depression and Anxiety in Adults with Pyoderma Gangrenosum

2021· review· en· W3179536449 on OpenAlexaffabout
Meghan L. McPhie, Joshua Fletcher, Myrela O. Machado, André F. Carvalho, Vincent Piguet, Afsáneh Alavi

Bibliographic record

VenueAdvances in Skin & Wound Care · 2021
Typereview
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders
Canadian institutionsPublic Health Ontario
Fundersnot available
KeywordsMedicineCINAHLAnxietyObservational studyPsycINFOComorbidityDepression (economics)MEDLINEPyoderma gangrenosumPopulationOdds ratioPsychiatryNational Comorbidity SurveyClinical psychologyInternal medicinePsychological interventionEnvironmental health

Abstract

fetched live from OpenAlex

OBJECTIVE: To synthesize the available evidence on the prevalence and odds for anxiety and depression in adults with pyoderma gangrenosum (PG). DATA SOURCES: Observational studies examining anxiety and depression in adults with PG were systematically searched using the MEDLINE, EMBASE, PsycINFO, and CINAHL databases from the inception of each database to March 11, 2020. STUDY SELECTION: Two authors independently screened references based on predetermined eligibility criteria. DATA EXTRACTION: Of the 244 articles identified, three met the eligibility criteria. Relevant data were extracted from included studies, and methodological quality was evaluated independently by two authors using the modified Newcastle-Ottawa Scale. DATA SYNTHESIS: Three observational studies comprising 183 participants with PG met the inclusion criteria. Estimated rates of depression in adults with PG ranged from 10% to 23%. None of the studies measured rates of anxiety. CONCLUSIONS: The current systematic review suggests that depression is a common psychological comorbidity in adults with PG. Additional research is required to further assess the psychological comorbidities in this population.

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)0.006
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.029
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0080.006
Bibliometrics0.0130.012
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.002
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 head0.005
GPT teacher head0.292
Teacher spread0.287 · 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 designSystematic review
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

Citations9
Published2021
Admission routes2
Has abstractyes

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