Evidence map›Paper›PMID 40671043›Full record

Observational studyBMC medical education2025

Assessment of differential diagnostic skills of physiotherapists related to the cervical spine - approaches to improving effectiveness: observational, cross-sectional study.

Kinga Nákity, Blanka Bernadett Kasza, Barbara Bianka Tatár, Mónika Szűcs, Dávid Kis, Pál Barzó, Andrea Domján

Abstract readObservational Study
In one paragraph

Observational study in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kinga NákityAlbert Szent-Györgyi Medical School, Doctoral School of Inderdisciplinary Medicine, University of Szeged, Semmelweis street 6, Szeged, 6723, Hungary. nakity.kinga@szte.hu.ORCID http://orcid.org/0009-0003-6456-9722
Blanka Bernadett KaszaAlbert Szent-Györgyi Medical School, Doctoral School of Inderdisciplinary Medicine, University of Szeged, Semmelweis street 6, Szeged, 6723, Hungary.ORCID http://orcid.org/0000-0003-0205-9834
Barbara Bianka TatárAlbert Szent-Györgyi Health Centre, Department of Physiotherapy, University of Szeged, Szeged, Hungary.ORCID http://orcid.org/0009-0001-8594-9586
Mónika SzűcsAlbert Szent-Györgyi Medical School, Faculty of Science and Informatics, University of Szeged, Szeged, Hungary.ORCID http://orcid.org/0000-0002-8791-9452
Dávid KisAlbert Szent-Györgyi Health Centre, Department of Neurosurgery, University of Szeged, Szeged, Hungary.ORCID http://orcid.org/0000-0003-4065-7536
Pál BarzóAlbert Szent-Györgyi Health Centre, Department of Neurosurgery, University of Szeged, Szeged, Hungary.ORCID http://orcid.org/0000-0001-8717-748X
Andrea DomjánFaculty of Health Sciences and Social Studies, Department of Physiotherapy, University of Szeged, Szeged, Hungary.ORCID http://orcid.org/0000-0002-1557-2680

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCervical disorders are a significant cause of disability worldwide, often presenting with pain and symptoms affecting the musculoskeletal system and other organs. It is essential for healthcare professionals to accurately identify and comprehend the underlying causes of these potentially life-threatening conditions. This study aimed to assess the diagnostic knowledge and clinical decision-making abilities of physiotherapists in Hungary regarding serious health conditions in patients with cervical disorders and the factors influencing these decisions.

methodsData were collected through an electronic questionnaire containing demographic information, educational background, and professional experience. The second section includes excerpts from eight case reports on diagnosing cervical complaints from international literature. A cohort of 128 physiotherapists (114 female and 14 male; mean age: 34.65 ± 8.88 years; 101 BSc degrees and 27 MSc/PhD degrees, average of 9.73 ± 7.82 years of professional practice) who completed their higher education in Hungary were recruited for participation. Statistical analyses were performed using R software version 4.0.2. The primary outcome was correct decision-making, measuring its association with years of practice, clinical experience, educational level (BSc, MSc/PhD), and postgraduate training in cervical spine management.

results61.7% of therapists identified the appropriate treatment for musculoskeletal cases, while only 22.7% recognized critical signs and symptoms. Participants with postgraduate training in neck conditions (odds ratio 1.25-7.99, p = 0.014) and those treating orthopedic (odds ratio 0.18-0.99, p = 0.047) and trauma cases (odds ratio 0.11-0.65, p = 0.004) were significantly more effective at recognizing critical cases.

conclusionOur findings emphasize the need for ongoing education and training to recognize cervical spine red flags. These results align with global literature and highlight the importance of improving diagnostic knowledge in undergraduate programs. These results underscore the significance of extensive professional experience and advanced education within the discipline. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Cervical VertebraeClinical CompetencePhysical TherapistsSpinal DiseasesAdultClinical Decision-MakingCross-Sectional StudiesDiagnosis, DifferentialFemaleHumansHungaryMaleMiddle AgedNeck PainSurveys and QuestionnairesCervical spineCritical medical casesDecision-makingDifferential diagnostic knowledgeMusculoskeletalPhysiotherapyRed flagsWarning signs

Identifiers

PMID40671043
PMCPMC12269254

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.