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Record W4404721564 · doi:10.1089/photob.2024.0080

Photodynamic Therapy or Palliative Resection Versus Biliary Stenting for Advanced Cholangiocarcinoma: A Network Meta-Analysis

2024· review· en· W4404721564 on OpenAlexaboutno aff
S Dong, An Jiang, Qifan Liu, Shiqi An

Bibliographic record

VenuePhotobiomodulation Photomedicine and Laser Surgery · 2024
Typereview
Languageen
FieldMedicine
TopicCholangiocarcinoma and Gallbladder Cancer Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePhotodynamic therapyMeta-analysisResectionBiliary stentPalliative treatmentPalliative careEndoscopic stentingPalliative TherapyRadiologyStentGeneral surgeryOncologyInternal medicineSurgeryCancer

Abstract

fetched live from OpenAlex

Background:We assessed the efficacy of evaluating palliative resection (R1/R2 resection), photodynamic therapy (PDT), and biliary stenting (stent) alone in the treatment of advanced cholangiocarcinoma using a reticulated meta-analysis. Methods:A systematical retrieval in PubMed, Web of Science, and the Cochrane Library was performed for relative literature on the effects of PDT, palliative resection, and simple biliary stenting in the treatment of advanced cholangiocarcinoma. A literature search updated to January 30, 2024, was performed. Newcastle-Ottawa Scale and Risk Of Bias In Non-randomised Studies-of Interventions (ROBINS-I) tools were used to assess the methodological quality of the included studies, and Addis-1.16 0.6 software for reticulated meta-analysis. Results:The results showed that PDT and palliative resection were superior to biliary stenting alone in improving 1-, 2-, and 3-year survivals, and the incidence of cholangitis. The relative effectiveness of PDT, palliative resection, and biliary stent placement alone in improving survival was as follows: PDT, palliative resection, and biliary stent placement alone. Conclusion:There is no significant difference between PDT and palliative resection in improving patient survival time, and PDT does not increase the incidence of cholangitis.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.388
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.005
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.239
GPT teacher head0.410
Teacher spread0.170 · 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 designMeta-analysis
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

Citations2
Published2024
Admission routes1
Has abstractyes

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