Evidence map›Paper›PMID 36444923›Full record

ArticleAnnals of Saudi medicine

Assessment of opioid administration patterns following lower extremity fracture among opioid-naïve inpatients: retrospective multicenter cohort study.

Majed Ramadan, Yahya Alnashri, Amjad Ilyas, Omar Batouk, Khalid A Alsheikh, Laila Alhelabi, Suliman Abdulah Alnashri

Open access · diamondAbstract readMulticenter Study
In one paragraph

Article in Annals of Saudi medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 42% of its field
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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Factors Associated with Healthcare Utilization in Children with Sickle Cell Disease in Saudi Arabia.International journal of environmental research and public health · 2026
    Observational
  2. Analgesia in the Emergency Department for Lower Leg and Knee Injuries: A Case Report.Clinical practice and cases in emergency medicine · 2025
    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

7 authors at 4 institutions in 1 country.

Majed RamadanFrom the Population Health, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia.ORCID 0000-0001-9838-2155
Yahya AlnashriFrom the Department of Family and Community Medicine, Prince Sattam bin Abdulaziz University, Al Kharj, Saudi Arabia.
Amjad IlyasFrom the Department of Orthopedic Surgery, Dr. Soliman Fakeeh Hospital, Makkah, Saudi Arabia.
Omar BatoukFrom the Department of Surgery, King Khalid National Guard Hospital, Makkah, Saudi Arabia.
Khalid A AlsheikhFrom the College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
Laila AlhelabiFrom the Population Health, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia.
Suliman Abdulah AlnashriFrom the Population Health, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia.
King Abdullah International Medical Research Center · SAKing Saud bin Abdulaziz University for Health Sciences · SAPrince Sattam Bin Abdulaziz University · SASoliman Fakeeh Hospital · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrescribing habits during admission have largely contributed to the opioid epidemic. Orthopedic surgeons represent the third-highest opioid-prescribing specialty. Since more than half of body fractures in Saudi Arabia have been lower extremity fractures, it is imperative to understand opioid administration patterns and correlates among opioid-naïve inpatients.

objectivesAssess opioid administration patterns and correlates among opioid-naïve inpatients with lower extremity fractures. DESIGN AND SETTINGS: Retrospective cohort PATIENTS AND

methodsOpioid naïve individuals aged 18 to 64 years, admitted due to lower extremity fracture from 2016 to 2020 were included. Data was collected from health records of the Ministry of National Guard Health Affairs (MNG-HA) at five different medical centers. The high-dose (≥50 MME) patients were compared with low dose (<50 MME) patients. Any association between inpatient factors and high-dose opioid use was analyzed by multiple logistic regression.

main outcome measuresOpioids taken during inpatient admission as measured by milligram morphine equivalents (MME)/per day. SAMPLE SIZE: 1520 patients

resultsMost of the 1520 patients (88.5%) received an opioid medication, while (20.3%) received high-dose opioids at a median daily dose of 33.7 MME/per day. The proportion of patients received naloxone (20.7%) was double among high-dose opioid inpatients. High-dose opioid patients during admission were two times more likely to receive an opioid prescription after discharge (odds ratio, 2.32; 95% confidence interval, 1.53, 3.51), and three more times likely to receive ketamine during admission (odds ratio, 3.02; 95% confidence interval, 1.64, 5.54).

conclusionNotable variabilities exist in opioid administration patterns that were not explained by patient factors. Evidence-based opioid prescribing practices should be developed for orthopedic patients to prevent opioid overprescribing and potential opioid overdose among orthopedic patients. LIMITATIONS: Retrospective, unmeasurable confounders might have biased our results. Since based on National Guard employees, results may not be generalizable. CONFLICT OF INTEREST: None.

Indexed as

Analgesics, OpioidInpatientsCohort StudiesEndrinHumansLower ExtremityPractice Patterns, Physicians'Retrospective StudiesAnalgesics, OpioidEndrinMME

Identifiers

PMID36444923
PMCPMC9706711
OpenAlexW4310467046

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.