Evidence map›Paper›PMID 35463846›Full record

ArticleJournal of chiropractic medicine2021

Demographics and Clinical Profiles of Patients Visiting a Chiropractic Teaching Clinic in Malaysia.

Sheng Hui Kioh, Tamara Gien Pooke, Siew Fong Chong

Abstract read
In one paragraph

Article in Journal of chiropractic medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Sheng Hui KiohDepartment of Chiropractic, International Medical University, Bukit Jalil, Kuala Lumpur, Malaysia.
Tamara Gien PookeDepartment of Chiropractic, International Medical University, Bukit Jalil, Kuala Lumpur, Malaysia.
Siew Fong ChongDepartment of Chiropractic, International Medical University, Bukit Jalil, Kuala Lumpur, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The objective of this study was to describe the demographics and clinical profiles of patients visiting a chiropractic teaching clinic in Malaysia. Methods: A retrospective descriptive study was conducted using existing medical records of all new patients who visited the International Medical University Bukit Jalil teaching clinic between August 2018 and July 2019. Sociodemographic and lifestyle factors, information on location of presenting complaints, duration of complaint and referral sources were reviewed. Descriptive analyses including mean, mode, standard deviations (SDs), and frequencies were performed. Results: Of the 1451 patients included in this study, the mean age was (SD) 34.3 (16.1) with 51.1% female. Most of the patients were Chinese (76.0%), followed by Malay (11.6%), Indian (7.72%), and others such as Punjabi and Sabah and Sarawak native (5.0%). Comparing referral sources, the main referrals were self-referred (26.6%) followed by friends and family referrals (25.0%) and other forms of social media and advertising (10.0%). The most frequent location of complaint was the lumbar and pelvic regions, 562 (38.73%) followed by head and neck 400 (27.57%), lower limb 173 (11.92%), upper limb 154 (10.61%), thoracic 133 (9.17%), and full spine 29 (2%). Conclusion: This study provides important information that allows better understanding of patients presenting to a chiropractic teaching clinic in Malaysia. Such findings may contribute to the benchmark data for future strategic planning to ensure sufficient exposure on case mix among chiropractic interns in Malaysia.

Indexed as

ChiropracticDemographyEducation, Medical

Identifiers

PMID35463846
PMCPMC9023127

What OpenQuestion holds

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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.