Evidence map›Paper›PMID 33747380›Full record

ArticleClinics in orthopedic surgery2021

Reliability of 2 Smartphone Applications for Cobb Angle Measurement in Scoliosis.

İsmail Emre Ketenci, Hakan Serhat Yanık, Özgür Erdoğan, Levent Adıyeke, Şevki Erdem

Abstract readComparative Study
In one paragraph

Article in Clinics in orthopedic surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Improving Home-Based Scoliosis Therapy: Findings From a Web-Based Survey.JMIR rehabilitation and assistive technologies · 2023
    Article
  6. Scoliosis Management through Apps and Software Tools.International journal of environmental research and public health · 2023
    Review
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

5 authors.

İsmail Emre KetenciDepartment of Orthopedics and Traumatology, Haydarpasa Numune Education and Research Hospital, Istanbul, Turkey.
Hakan Serhat YanıkDepartment of Orthopedics and Traumatology, Haydarpasa Numune Education and Research Hospital, Istanbul, Turkey.
Özgür ErdoğanDepartment of Orthopedics and Traumatology, Haydarpasa Numune Education and Research Hospital, Istanbul, Turkey.
Levent AdıyekeDepartment of Orthopedics and Traumatology, Haydarpasa Numune Education and Research Hospital, Istanbul, Turkey.
Şevki ErdemDepartment of Orthopedics and Traumatology, Haydarpasa Numune Education and Research Hospital, Istanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs mobile technology has evolved, smartphone applications have been used for radiographic angle measurements in daily clinical practice. This study aimed to assess the reliability of 2 smartphone applications (iPinPoint and Cobbmeter) in measuring scoliosis Cobb angles compared with picture archiving and communication system (PACS) tools.

methodsAnteroposterior whole spinal digital radiographs of 50 patients were retrospectively analyzed. Four observers measured Cobb angles of predetermined major structural curves using the tools in the PACS software and 2 smartphone applications. The inter- and intraobserver reliabilty were measured using intraclass correlation coefficients (ICC).

resultsVery good interobserver agreement was seen with PACS, iPinPoint, and Cobbmeter measurements (ICC, 0.991, 0.980, and 0.991, respectively). Intraobserver reliability of the 4 observers was also very good for all techniques (ICC > 0.9 for all observers).

conclusionsBoth smartphone applications were reliable in measuring scoliosis Cobb angles, with reference to PACS tools. They may be useful when digital or manual mesurement tools are not available.

Indexed as

AdolescentAdultChildFemaleHumansMaleMobile ApplicationsObserver VariationRadiographyRange of Motion, ArticularReproducibility of ResultsRetrospective StudiesScoliosisSmartphoneYoung AdultMeasuresScoliosisSmartphoneSoftware

Identifiers

PMID33747380
PMCPMC7948049

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