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Record W4404702271 · doi:10.1002/hsr2.70205

The Efficacy and Safety of Negative‐Pressure Wound Therapy Combined With Platelet‐Rich Plasma in Chronic Refractory Wounds: A Systematic Review and Meta‐Analysis of Randomized Controlled Trials

2024· review· en· W4404702271 on OpenAlexaboutno aff
R.-S. Hao, Mao Luo, Jing Li, Xinyue Lv, Yumei Peng, Yuxuan Wu, Yan Shen, Wei Jiang

Bibliographic record

VenueHealth Science Reports · 2024
Typereview
Languageen
FieldMedicine
TopicPeriodontal Regeneration and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMeta-analysisMedicineRefractory (planetary science)Randomized controlled trialPlatelet-rich plasmaPlateletNegative-pressure wound therapySystematic reviewInternal medicineSurgeryMEDLINEPathologyAlternative medicineChemistryMaterials science

Abstract

fetched live from OpenAlex

ABSTRACT Background and Aims Chronic refractory wound is a disease that seriously impairs the quality of life of patients. Negative pressure wound therapy and platelet‐rich plasma are commonly used to treat various types of wounds. Further research is necessary to explore the efficacy and safety of the combination of negative pressure wound therapy and platelet‐rich plasma in treating chronic refractory wounds. Methods PubMed, Web of Science, EMBASE, Cochrane, CINAHL, CNKI, Sino Med, and Wanfang Med Online up until March 2024 were searched(PROSPERO No. CRD42024507963). Two investigators screened literature according to inclusion and exclusion criteria, evaluated bias and certainty of evidence using RoB 2.0 and GRADE. Stata 12.0 was used to analyze the data. Results A total of 35 randomized controlled trials involving 2495 participants were included. 34 studies were assessed as having some concerns, and 1 study as having high risk in the risk of bias assessment. The results of meta‐analysis showed that effective rate (RR1.23, 95% CI [1.17, 1.30], p < 0.001; I 2 = 44.7%, p = 0.013), healing time (WMD‐9.32, 95% CI [−10.60, −8.03], p < 0.001; I² = 91.00%, p < 0.001), healing rate (RR1.76, 95% CI [1.50, 2.07], p < 0.001; I 2 = 62.6%, p < 0.001), positive rate of bacterial(RR0.25, 95% CI [0.15, 0.40], p < 0.001; I² = 0%, p = 0.841), pain score (WMD‐1.43, 95% CI [−2.14, −0.72], p < 0.001; I² = 96.5%, p < 0.001), incidence of complications (RR0.45, 95% CI [0.30, 0.68], p < 0.001; I² = 46.3%, p = 0.098), length of hospital stay (WMD‐9.88, 95% CI [−13.42, 6.34], p < 0.001; I 2 = 98.9%, p < 0.001), number of dressing changes (WMD‐2.56, 95% CI [−4.28, −0.83], p = 0.004; I² = 98.9%, p < 0.001), white blood cell level (WMD‐1.71, 95% CI [−2.00, −1.41], p < 0.001; I² = 33.9%, p = 0.195), c‐reactive protein level (WMD‐0.68, 95% CI [−1.04, −0.33], p < 0.001; I² = 88.8%, p < 0.001), erythrocyte sedimentation rate (WMD‐6.09, 95% CI [−8.05, −4.13], p < 0.001; I² = 13%, p = 0.32), score of vancouver scar scale (WMD‐1.78, 95% CI [−1.89, −1.66], p < 0.001; I² = 38.3%, p = 0.166) and preparation time of secondary repair (WMD‐4.95, 95% CI [−7.03, −2.87], p < 0.001; I² = 84.7%, p < 0.001) had statistically significant effects. However, hospitalization costs (WMD1423.56, 95% CI [−4588.93, 7436.06], p = 0.643; I 2 = 100%, p < 0.001) had no significant difference. Conclusions This study demonstrates that the combination of negative‐pressure wound therapy and platelet‐rich plasma can improve the efficacy and safety on chronic refractory wounds. Optimal parameter combinations, elucidation of pathogenesis and treatment mechanisms can be explored in the future.

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)0.028
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.636
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0280.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0320.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
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 head0.081
GPT teacher head0.417
Teacher spread0.336 · 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

Citations4
Published2024
Admission routes1
Has abstractyes

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