Evidence map›Paper›PMID 39553146›Full record

ReviewCureus2024

A Review of Platelet-Rich Plasma Use in Patients Taking Non-steroidal Anti-inflammatory Drugs for Guideline Development.

Tyler Leach, Benjamin Huang, Nicholas Kramer, Shanthan Challa, Richard P Winder

Abstract readReview
In one paragraph

Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Tyler LeachCollege of Osteopathic Medicine, Touro University Nevada, Henderson, USA.
Benjamin HuangCollege of Osteopathic Medicine, Touro University Nevada, Henderson, USA.
Nicholas KramerCollege of Osteopathic Medicine, Touro University Nevada, Henderson, USA.
Shanthan ChallaOrthopedic Surgery, Valley Hospital Medical Center, Las Vegas, USA.
Richard P WinderOrthopaedic Surgery, Desert Orthopaedic Center, Las Vegas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Platelet-rich plasma (PRP) is an autologous blood product containing concentrated platelets, growth factors, and anti-inflammatory cytokines that promote healing and regeneration. Platelets release active components through a degranulation process, which is inhibited by certain nonsteroidal anti-inflammatory drugs (NSAIDs). Current deferral guidelines are not established, but NSAIDs are expected to have a time-dose relationship with platelet inhibition. This article aims to review the literature regarding NSAIDs that inhibit a key enzyme in clotting, cyclooxygenase-1 (COX-1), and their effects on bulk platelet aggregation to establish guidelines for deferral times before PRP injections. After searching the literature, 25 studies met the inclusion criteria for this review. Our analysis of the data revealed several significant findings. Naproxen demonstrated inhibition of platelet aggregation lasting at least 24 hours, with possible inhibition even at 48 hours. Studies using indomethacin found recovery by 24 hours, although no other time points were measured. Ibuprofen and diclofenac inhibit platelet aggregation for 6-12 hours, depending on dose. Acetaminophen, a mild inhibitor of COX-1, does not require deferral. These results reinforce the need to defer NSAIDs with COX-1 activity before PRP injections. This review will allow for the creation of deferral guidelines that differentiate NSAIDs based on their length of platelet inhibition.

Indexed as

nonsteroidal anti-inflammatory drugs (nsaids)orthopedicsorthopedic sports medicineplatelet-rich plasma (prp)prp injection

Identifiers

PMID39553146
PMCPMC11568791

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.