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Record W4313855374 · doi:10.21203/rs.3.rs-2440454/v1

Within-day and between-day reliability of a novel test to evaluate back extensor strength in healthy individuals.

2023· preprint· en· W4313855374 on OpenAlexaff
Nizar Algarni, Abdullah Alshammari, Yousef Marwan, Abdulmajeed Alzakri, Abdullah Addar, Abdulrahman Alaseem, Waleed Albishi, Ibrahim Alshaygy, Musab Alageel, Maryse Fortin, Peter Jarzem

Bibliographic record

VenueResearch Square · 2023
Typepreprint
Languageen
FieldMedicine
TopicScoliosis diagnosis and treatment
Canadian institutionsConcordia UniversityMcGill University Health Centre
FundersKing Saud University
KeywordsMedicineIsometric exerciseBack musclesPhysical therapyLow back painPhysical medicine and rehabilitationTest (biology)Reliability (semiconductor)Back painKyphosisLumbarMuscle strengthSurgeryPower (physics)Radiography

Abstract

fetched live from OpenAlex

Abstract Background Proximal junctional kyphosis (PJK) is a common complication of long spinal fusion. The prevalence of PJK ranges between 6 and 41% and frequently requires reoperation. One of the potential causes is thought to be posterior muscle dissection within the fused range at the time of posterior fusion. Various measurement protocols have been tested to evaluate extensor muscle strength, endurance and power in adults. However, it is not universally accessible and is rarely used clinically due to the high cost, requirement for considerable user expertise, demands on the functional capacities of the patient and protracted testing time. Currently, the Biering–Sørensen test is the most widely used isometric test for assessing extensor muscle endurance. But, it was deemed unsuitable and difficult for older patients with chronic low back pain undergoing spine surgery. In this study, we designed a simple method that allows us to perform lumbar spine extensor strength tests in a comfortable seated position. This study aimed to assess the within-day and between-day reliability of this novel test for evaluating back extensor strength in healthy individuals. Methods In this study, we examined 79 healthy subjects (33 males and 46 females), who were 25–63 years of age. The subjects were placed in a seated position on the novel chair and secured tightly with a lap belt. In each session, the subjects were asked to extend their backs against the force transducer at maximum capacity, maintaining the extension for 5 seconds. The maximal force delivered over that period was recorded. The subjects had a practice trial followed by three forceful extensions with pausing intervals of 30 seconds. Measurements were obtained by one of three trained raters, and the average force of all three trials was recorded. A follow-up session was carried out within 14 days. Intra-class correlation coefficients (ICCs) were used to assess within-day and between-day reliability. Results The mean force in the initial session was 314.6±118.3 N, and it was 318.6±123.6 N in the follow-up session. The ICCs for within-day reliability and between-day reliability were 0.89 [95%CI: 0.83–0.92] and 0.88 [95% CI: 0.81–0.93], respectively. There was a strong correlation between the average measures of the initial and follow-up sessions (r = 0.80; p < 0.001; R2 = 0.62). Conclusion The use of the static dynamometer chair is a reliable, non-invasive, cost-effective test that facilitates the assessment of the strength of lumbar spine extensors in healthy adults.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.221
GPT teacher head0.479
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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