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Record W4378902113 · doi:10.24920/004213

Chinese Guideline on the Management of Polypoidal Choroidal Vasculopathy (2022)

2023· article· en· W4378902113 on OpenAlexaff
Youxin Chen, Yuqing Zhang, Changzheng Chen, Hong Dai, Suyan Li, Xiang Ma, Xiaodong Sun, Shibo Tang, Yusheng Wang, Wenbin Wei, Gezhi Xu, Weihong Yu, Meixia Zhang, Yang Zhang, Qi Fang, Xun Xu, Xiaoxin Li

Bibliographic record

VenueChinese Medical Sciences Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicRetinal Diseases and Treatments
Canadian institutionsMcMaster UniversityImpact
FundersPeking Union Medical CollegePeking Union Medical College Hospital
KeywordsMedicineMacular degenerationGuidelineGrading (engineering)Photodynamic therapyOphthalmologyRegimenVerteporfinInternal medicinePathologyChoroidal neovascularization

Abstract

fetched live from OpenAlex

Background In mainland China, patients with neovascular age-related macular degeneration (nAMD) have an approximately 40% prevalence of polypoidal choroidal vasculopathy (PCV). This disease leads to polys, recurrent retinal pigment epithelium detachment (PED), extensive subretinal or vitreous hemorrhages, and severe vision loss. China has introduced various treatment modalities in the past years, and gaining comprehensive experience in treating PCV is necessary. Methods A total of 14 retinal specialists nationwide with expertise in PCV were empaneled to prioritize six questions and address their corresponding outcomes, regarding opinions on inactive PCV, choices of anti-vascular endothelial growth factor (anti-VEGF) monotherapy, photodynamic therapy (PDT) monotherapy or combined therapy, patients with persistent subretinal fluid (SRF) or intraretinal fluid (IRF) after loading dose anti-VEGF, or patients with massive subretinal hemorrhage. An evidence synthesis team conducted systematic reviews, which informed the recommendations that address these questions. This guideline used the GRADE (Grading of Recommendations, Assessment, Development, and Evaluation) approach to assess the evidence's certainty and grade the recommendations' strengths. Results The panel proposed the following six conditional recommendations regarding treatment choices: (1) For patients with inactive PCV, we suggest observation over treatment; (2) For treatment-na?ve PCV patients, we suggest either anti-VEGF monotherapy or combined anti-VEGF and PDT rather than PDT monotherapy; (3) For patients with PCV who plan to initiate combined anti-VEGF and PDT treatment, we suggest later/rescue PDT over initiate PDT; (4) For PCV patients who plan to initiate anti-VEGF monotherapy, we suggest treat and extend (T&E) rather than the pro re nata (PRN) regimen following three monthly loading doses; (5) For patients with persistent SRF or IRF on optical coherence tomography (OCT) after three monthly loading doses, we suggest proceeding with anti-VEGF treatment rather than observation. (6) For PCV patients with massive subretinal hemorrhage (equal to or more than four papillary diameters) involving the central macula, we suggest surgery (consider using a complementary therapy, e.g., pneumatic displacement, anti-VEGF, PDT, tissue-Plasminogen Activator [t-PA]) rather than anti-VEGF monotherapy. Conclusions: Six evidence-based recommendations support optimal care for PCV patients’ management.

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)0.004
metaresearch head score (Gemma)0.012
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: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.005
Bibliometrics0.0050.004
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0030.002
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0140.006

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 head0.021
GPT teacher head0.356
Teacher spread0.335 · 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
GenreMethods

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

Citations4
Published2023
Admission routes1
Has abstractyes

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