MétaCan
Menu
Back to cohort
Record W2988762460 · doi:10.1097/md.0000000000017266

Effects of sarpogrelate hydrochloride on peripheral arterial disease

2019· review· en· W2988762460 on OpenAlexaff
Yun‐Xin Lu, Jiangmiao Li, Jiayi Xie, Qingliang Yu, Liang Liao

Bibliographic record

VenueMedicine · 2019
Typereview
Languageen
FieldMedicine
TopicPeripheral Artery Disease Management
Canadian institutionsHotel Dieu Hospital
FundersNatural Science Foundation of Guangxi Zhuang Autonomous Region
KeywordsMedicineCochrane LibraryTolerabilityRandomized controlled trialMeta-analysisAdverse effectDorsalis pedis arteryInternal medicineInclusion and exclusion criteriaPhysical therapyArteryPathology

Abstract

fetched live from OpenAlex

OBJECTIVE: The aim of our study was to assess the efficacy and safety of sarpogrelate hydrochloride by comparing the effects of sarpogrelate with conventional treatment on the improvement of symptoms in PAD patients. METHODS: The search was conducted in PubMed, Embase, Cochrane library database, CNKI, CBM for relevant randomized controlled trials (RCTs) before January 1st, 2019. Inclusion and exclusion of studies, assessment of quality, outcome measures, data extraction and synthesis were completed by two reviewers independently. The meta-analysis was performed with RevMan 5.3. RESULTS: Totally, 12 eligible RCTs were included in our analysis. Comparing the results of sarpogrelate group and control group, sarpogrelate significantly improved ankle-brachial index (ABI) levels (SMD = 0.05, [95%CI 0.20 to 0.74, P = .0005]), dorsalis pedis artery blood flow (MD = 0.16, [95%CI 0.09 to 0.23, P < .001]) and pain-free walking distance (PFWD) (MD = 201.86, [95%CI 9.34 to 394.38, P = .04]). The pooled analysis showed that a significant decrease in hsCRP (MD = -0.57, [95%CI -1.12 to -0.02, P = .04]) and IL-6 (MD = 1.48,[95%CI 0.39 to 2.56, P = .008]) was observed in the sarpogrelate treatment. CONCLUSION: Sarpogrelate was effective for improving the symptoms of PAD and showed good tolerability without significant adverse events.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.889
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.328
Teacher spread0.296 · 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 designNot applicable
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

Citations6
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueMedicineSame topicPeripheral Artery Disease ManagementFrench-language works237,207