Evidence map›Paper›PMID 40837458›Full record

ArticleActa ortopedica brasileira2025

CLINICAL-EPIDEMIOLOGICAL ANALYSIS OF PATIENTS WITH CERVICALGIA AND THE IMPACT OF NUCLEAR RESONANCE.

Muryllo Henrique Ferreira de Brito, Karllos Adryano Priscinotte Rodrigues Lima, Pedro Pereira Barbosa, Newton Antônio Tristão

Abstract read
In one paragraph

Article in Acta ortopedica brasileira, 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

4 authors.

Muryllo Henrique Ferreira de BritoInstituto Ortopedico de Goiania (IOG), Goiania, Goias, GO, Brazil.ORCID https://orcid.org/0009-0005-5297-4725
Karllos Adryano Priscinotte Rodrigues LimaInstituto Ortopedico de Goiania (IOG), Goiania, Goias, GO, Brazil.ORCID https://orcid.org/0009-0009-8535-5604
Pedro Pereira BarbosaInstituto Ortopedico de Goiania (IOG), Goiania, Goias, GO, Brazil.ORCID https://orcid.org/0000-0002-9825-5532
Newton Antônio TristãoInstituto Ortopedico de Goiania (IOG), Goiania, Goias, GO, Brazil.ORCID https://orcid.org/0009-0005-7541-7737

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze the clinical and epidemiological profile of patients with neck pain, assessing risk factors, comorbidities, and the need for therapeutic interventions, as well as the impact of magnetic resonance imaging (MRI) on case management. Methods: This is a cross-sectional study involving 435 patients treated at the Emergency Department of the Instituto Ortopédico de Goiânia (IOG) between July and December 2023. Sociodemographic, clinical, and risk factor variables were analyzed based on data collected from electronic medical records. Statistical analysis included association tests with a significance level of 5% (p<0.05). Results: A high prevalence of sedentary lifestyle (94.59%) and prolonged work exposure (78.38%) was observed. Most patients required medication (94.59%), while 63.96% underwent additional clinical interventions. Statistically significant associations were identified between sex, occupational factors, and lesions detected by MRI. The average time to diagnosis was 4.2 months. Conclusion: Neck pain is strongly associated with modifiable risk factors such as sedentary behavior and occupational overload, highlighting the importance of preventive strategies and individualized therapeutic approaches. MRI played a key role in diagnosis and treatment planning.

Indexed as

EpidemiologyMagnetic Resonance ImagingNeck PainRisk FactorsTherapeutic Interventions

Identifiers

PMID40837458
PMCPMC12364508

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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.