Evidence map›Paper›PMID 37810069›Full record

ArticleHeliyon2023

Clinimetric properties of a smartphone application to measure the craniovertebral angle in different age groups and positions.

Aafreen, Ashfaque Khan, Ausaf Ahmad, Abdur Raheem Khan, Neeraj Maurya, Mohammed M Alameer, Ahmad H Hakamy, Mohammed A Hakami, Yousef M Alshehre, Mohammed Aljahni and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

13 authors.

AafreenDepartment of Physiotherapy, Integral University, Lucknow, India.
Ashfaque KhanDepartment of Physiotherapy, Integral University, Lucknow, India.
Ausaf AhmadDepartment of Community Medicine, Integral University, Lucknow, India.
Abdur Raheem KhanDepartment of Physiotherapy, Integral University, Lucknow, India.
Neeraj MauryaDepartment of Physiotherapy, Integral University, Lucknow, India.
Mohammed M AlameerPhysical Therapy Department King Fahad Central Hospital, Jazan, Saudi Arabia.
Ahmad H HakamyMedical Rehabilitation Center of King Fahad Central Hospital of Jazan, Saudi Arabia.
Mohammed A HakamiPhysical Therapy Department, College of Applied Medical Sciences, Advance Rehabilitation Clinic, Jazan University, Jazan, Saudi Arabia.
Yousef M AlshehreDepartment of Physical Therapy, Faculty of Applied Medical Sciences, University of Tabuk, Saudi Arabia.
Mohammed AljahniPhysical Education Department, Jazan University, Jazan, Saudi Arabia.
Karthick BalasubramanianPhysical Therapy Department, College of Applied Medical Sciences, Advance Rehabilitation Clinic, Jazan University, Jazan, Saudi Arabia.
Mohammed M AlshehriPhysical Therapy Department, College of Applied Medical Sciences, Advance Rehabilitation Clinic, Jazan University, Jazan, Saudi Arabia.
Mohammad Abu ShaphePhysical Therapy Department, College of Applied Medical Sciences, Advance Rehabilitation Clinic, Jazan University, Jazan, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Craniovertebral angle (CVA) alteration is a causative factor for the neck, shoulder, and temporomandibular joints disorders. Therefore, as an outcome measure for therapeutic intervention, measuring the craniovertebral angle with the Surgimap smartphone app is a cost-effective, easily accessible, and reliable tool. This study's objective was to assess the clinimetric properties of the Surgimap smartphone application with Surgimap system software to measure the Craniovertebral Angle in different age groups and positions. Method: Ninety subjects with neck pain were randomly allocated to aged between 18 and 30 years (Group A; n = 45) and 45-60 years (Group B; n = 45). Using the Surgimap smartphone application and Surgimap system software, the craniovertebral angle was measured objectively in the sagittal plane. Intraclass correlation coefficients were used to determine validity and reliability. Receiver operating characteristic (ROC) curves and the area under the curves (AUC) were determined to distinguish participants with and without forward head posture. Result: The result of this study shows that Smartphone Surgimap Application and Surgimap System Software correlate 0.95 and have p-values of 0.01 for diverse positions and ages. CVA measurement in the sitting position was significantly lower than in the standing position, regardless of methodology or age. Both positions demonstrated high intra-rater reliability, as evidenced by Intraclass Correlation Coefficients (ICC) between 0.972 and 0.991. The minimum detectable change (MDC) values ranged from 1.3 to 1.733, indicating high measurement accuracy. The smartphone application demonstrated outstanding diagnostic sensitivity (100.00% for Group A standing) and specificity (93.55% for Group B standing). Conclusion: The Surgimap smartphone application is a reliable and accurate method for craniovertebral angle measurement and is useful for measuring outcomes. Also standing posture was found to be better than sitting posture while measuring the CVA.

Indexed as

Craniovertebral angleReliabilitySurgimap smartphone applicationsurgimap system softwareValidity

Identifiers

PMID37810069
PMCPMC10558335

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.