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Record W4213378332 · doi:10.2196/preprints.22657

Depression and Anxiety in Patients with Primary Biliary Cholangitis: A Systematic Review and Meta-analysis (Preprint)

2020· review· en· W4213378332 on OpenAlexaboutno aff
Shi Xiao, Qi Chen, Fen Wang

Bibliographic record

Venuenot available
Typereview
Languageen
FieldMedicine
TopicGallbladder and Bile Duct Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsAnxietyCochrane LibraryDepression (economics)Hospital Anxiety and Depression ScaleMedicineMeta-analysisInternal medicinePsychiatryMEDLINEPsychological intervention

Abstract

fetched live from OpenAlex

<sec> <title>BACKGROUND</title> Previous studies have implicated the co-existence of psychological disorders and primary biliary cholangitis (PBC). However, the exact magnitude of the prevalence and related score of depression and anxiety in patients with PBC are still unclear. </sec> <sec> <title>OBJECTIVE</title> We aimed to assess the prevalence and Hospital Anxiety and Depression Scale (HADS) scores for depression and anxiety in patients with PBC. </sec> <sec> <title>METHODS</title> A comprehensive search of studies published before June 10, 2020 was performed in databases of PUBMED, EMBASE, Cochrane Library and Web of Science. Methodological quality was assessed based on the Newcastle - Ottawa Scale (NOS) tool. </sec> <sec> <title>RESULTS</title> Twelve studies were identified, representing 933 patients with PBC. Pooled prevalence estimates were 27.59% (95% CI 16.75%-38.43%) for depression and 19.87% (95% CI 14.12%-25.62%) for anxiety. The scores of HADS-D and HADS-A were 5.60 (95% CI 4.67-6.52) and 6.56 (95% CI 4.89-8.23) among PBC suffers, respectively. </sec> <sec> <title>CONCLUSIONS</title> This systematic review and meta-analysis indicates that depression and anxiety are prevalent in PBC patients. Physicians should be vigilant for psychiatric symptoms among PBC suffers and provide appropriate interventions for them. Exploration of underlying mechanisms and interactions in the future investigations is warranted. </sec>

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.867
Threshold uncertainty score0.965

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0090.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.284
Teacher spread0.259 · 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.

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

Citations0
Published2020
Admission routes1
Has abstractyes

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