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Record W3107222102 · doi:10.1097/corr.0000000000001595

Cochrane in CORR®: Oral Nonsteroidal Anti-inflammatory Drugs versus Other Oral Analgesic Agents for Acute Soft Tissue Injury

2020· letter· en· W3107222102 on OpenAlexaffabout
Kim Madden, Jason W. Busse

Bibliographic record

VenueClinical Orthopaedics and Related Research · 2020
Typeletter
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsMcMaster UniversitySt. Joseph’s Healthcare HamiltonImpact
Fundersnot available
KeywordsMedicineSoft tissue injurySoft tissuePopulationEmergency departmentAnkleVeterans AffairsAnalgesicChronic painOsteoarthritisEmergency medicinePhysical therapySurgeryInternal medicineAnesthesiaPsychiatry

Abstract

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Importance of the Topic Acute soft tissue injuries like sprains, strains, and contusions are common injuries that often require medical attention. A population-based study in the United Kingdom showed that the incidence of ankle sprains presenting to emergency departments was 53 to 60 per 10,000 [1]. There were 12.5 million emergency department visits for strains, sprains, contusions, and superficial soft tissue injuries in the United States in 2010 [5], leading to USD 25 billion in medical costs and USD 31.5 billion in work loss costs [5]. Although minor soft tissue injuries resolve with nonsurgical care, some severe ones can require surgery, while others can result in long-term morbidity and persistent pain. For example, up to 30% of ankle sprains will develop chronic instability [11], and 13% of ankle osteoarthritis is attributable to ligament damage [12]. This highlights the importance of effective, early management. Many patients with soft tissue injuries receive opioid pain medications. For example, a 2018 population-based study [8] found that 25% of opioid-naïve patients with ankle sprains receive an opioid prescription. However, this practice is under increased scrutiny lately because of the risk of addiction. A recent review of 14 studies with 13,263,393 participants found that 6% of patients prescribed opioids for an acute musculoskeletal injury develop persistent opioid use [10]. The prevalence increased to 27% among injured patients receiving workers compensation benefits, Veterans Affairs claimants, or patient populations with high rates of concurrent substance use disorder [10]. One in five patients on chronic opioid therapy started with an opioid prescription from an orthopaedic surgeon [3]. It is important to establish which interventions for acute injuries are most likely to show a high net benefit, that is, good effectiveness for reducing pain and improving function, but a low risk of causing harm. This Cochrane review by Jones et al. [9] compared the benefits and harms of oral NSAIDs versus other pain medications like opioids for acute soft tissue injuries. Upon Closer Inspection This review included 20 randomized studies with 3305 patients, mostly with ankle or wrist sprains [9]. The authors found no difference between opioids and oral NSAIDs in terms of reducing pain in the short-term (moderate certainty evidence), nor did they find a difference in pain relief between NSAIDs and acetaminophen (high certainty evidence). However, the authors found a higher risk of gastrointestinal and neurological adverse events in the opioid group compared with NSAIDs (moderate certainty evidence), and slightly fewer gastrointestinal adverse effects with acetaminophen compared with NSAIDs (low certainty evidence). Additionally, they found NSAIDs may be superior to opioids for return to function after injury (low certainty evidence). The results of this Cochrane review are consistent with another recent systematic review and network meta-analysis, which examined the management of acute non–lower back musculoskeletal injuries [2]. This 2020 review of 207 randomized clinical trials (for a total enrollment of 32,959 patients) explored all therapeutic options for non–lower back acute musculoskeletal injuries and found that topical NSAIDs, followed by oral NSAIDs and acetaminophen (with or without diclofenac), had the most favorable harm-benefit ratio. Compared with placebo, tramadol failed to achieve important benefits and opioids caused more adverse events. Both the Cochrane review and the network meta-analysis results demonstrate that opioids fail to achieve important benefits beyond interventions with less harm and provide compelling reasons to avoid prescribing opioids in the setting of acute non–lower back musculoskeletal injury [2]. One limitation of the trials included in the Cochrane review is that six of the 20 were at high risk of bias for selective outcome reporting, meaning that the studies failed to report prespecified outcomes or selectively reported harms. This is important because selective outcome reporting can make a treatment look more effective or less harmful than it is [6]. In particular, the authors identified that one of the included studies was industry-funded and reported fewer harms [7] than did other studies in the review. It is likely that not all adverse effects were captured, and therefore we do not have a full picture of the harms associated with these pain medications. Research on pain management in orthopaedics should prespecify all patient-important outcomes, with consideration of both benefits and harms, and fully report all prespecified outcomes. Take-home Messages This Cochrane review found no differences among oral NSAIDs, acetaminophen, and opioids in terms of reducing short-term pain from acute soft tissue injuries; however, opioids produced the greatest harms. Given these major findings, and that of another recent systematic review and network meta-analysis [2], orthopaedic surgeons should generally avoid prescribing opioids for patients with acute soft tissue injuries in favor of NSAIDs, acetaminophen, or nonpharmacological approaches like rest, ice, compression, and elevation (known as RICE). The Canadian Orthopaedic Association has released a position statement that strongly encourages orthopaedic surgeons to consider nonpharmacological strategies and nonopioid pain medications before opioids when managing acute pain [4].

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)0.002
metaresearch head score (Gemma)0.017
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: Commentary · Consensus signal: none
Teacher disagreement score0.096
Threshold uncertainty score0.320

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0050.005
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0960.012

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 head0.082
GPT teacher head0.465
Teacher spread0.383 · 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
GenreCommentary

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".

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Citations0
Published2020
Admission routes2
Has abstractyes

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