Evidence map›Paper›PMID 39723196›Full record

ArticleJournal of pain research2024

Bunionectomy as an Acute Postoperative Pain Model: Overview of Common Experimental Methods, and Insights from Past Clinical Trials.

Neil Singla, Timothy Rogier, Diana S Meske

Abstract read
In one paragraph

Article in Journal of pain research, 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. Article
  2. Article
  3. Article
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

3 authors.

Neil SinglaLotus Clinical Research, New Providence, NJ, USA.ORCID 0000-0001-7107-331X
Timothy RogierIndependent Consultant, Los Angeles, CA, USA.ORCID 0000-0002-8342-9341
Diana S MeskeChariton Pharmaceuticals, Cambridge, MA, USA.ORCID 0000-0002-4039-3609

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To obtain broad regulatory approval for a new analgesic agent in acute postoperative pain, US and European regulatory authorities require pivotal studies in both hard (bony) tissue pain and soft tissue pain. Bunionectomy is by far the most common hard tissue pivotal trial model, in spite of the fact that the model has limited relevance to clinicians prescribing pain drugs (pain from bunionectomy is not extreme or long-lasting, and is adequately treated by existing drugs). The authors outline the experimental characteristics that make bunionectomy an appealing study model for researchers despite its lack of clinical relevance compared to larger surgeries. These include bunionectomy's high signal-to-noise ratio (secondary to the ability to standardize surgical procedures, anesthesia and perioperative care) and relative operational simplicity (including relatively easy subject enrollment). They present an overview of the surgical and anesthetic protocols typical to modern bunionectomy studies, as well as common design paradigms, common endpoints, and other key design features of bunionectomy trials. They also provide an informal qualitative review of bunionectomy acute pain studies performed in the past 15 years, and a master table of acute pain bunionectomy trials performed from 2006-2023. Drawing from their informal review of past studies, the authors discuss trends in rescue medication, study enrollment rates, subject demographics, and the advantages and disadvantages of bunionectomy compared with another common acute pain model, dental impaction pain (third molar extraction).

Indexed as

acute pain clinical trialsacute postoperative painbunionectomy

Identifiers

PMID39723196
PMCPMC11668969

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.