Evidence map›Paper›PMID 32025445›Full record

ArticleCureus2019

Misdirected Patients in Orthopedic Outpatient Clinics: A Retrospective Four Years Data Analysis (23435 Patients).

Syed Muhammad Azfar, Manal Abdulaziz Murad, Syeda Azim, Mukhtiar Baig

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2019. 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
–field-weighted citation impact, top 78% 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, 4 citations in OpenAlex.

  1. Artificial Intelligence Can Direct Patients Toward a Complaint-specific Musculoskeletal Provider.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2026
    Article
  2. Observational
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

4 authors at 3 institutions in 2 countries.

Syed Muhammad AzfarOrthopedics, Liaquat College of Medicine and Dentistry, Karachi, PAK.
Manal Abdulaziz MuradFamily Medicine, King Abdulaziz University, Jeddah, SAU.
Syeda AzimMedical Education and Simulation, Dow University of Health Sciences, Karachi, PAK.
Mukhtiar BaigMedical Education and Simulation, King Abdulaziz University, Jeddah, SAU.
King Abdulaziz University · SADow University of Health Sciences · PKLiaquat National Hospital · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective To identify the frequency of misdirected patients in orthopedic outpatient clinics. Methodology This was a retrospective study done in a private hospital of Jeddah. Computer records of patients attending the orthopedic outpatient department (OPD) during the period of 2013-2017 were collected. Data were analysed using IBM SPSS version 23 (IBM Corp, Armonk, NY). Descriptive statistics are presented as frequency and percentages. Results Out of the 23435 cases, 6944 (29.6%) cases should not be seen primarily in orthopedic clinic, 13638 (58.2%) were the cases that may or may not be seen primarily in orthopedic clinic, whereas, there were 2853 (12.2%) who must be seen mainly by orthopedic specialist. Conclusion This study revealed that a huge number of patients who visited orthopedic OPD does not need primarily orthopedic consultation. So, it is recommended to direct the patients to the right specialist in outpatient clinics to avoid the unnecessary burden on orthopedic clinics. The triage of referrals or walk-in patients may help to prevent this issue.

Indexed as

misdirect patientsorthopedic opd casesorthopedic triage

Identifiers

PMID32025445
PMCPMC6991150
OpenAlexW2997614760

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.