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Record W2320069498 · doi:10.1097/brs.0000000000000205

Impact of Surgical Waiting-List Times on Scoliosis Surgery

2014· article· en· W2320069498 on OpenAlexaff
Firoz Miyanji, Peter O. Newton, Amer F. Samdani, Suken A. Shah, Ranjit Varghese, Christopher W. Reilly, Kishore Mulpuri

Bibliographic record

VenueSpine · 2014
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Operations and Scheduling Optimization
Canadian institutionsBC Children's HospitalDiscovery Air (Canada)
Fundersnot available
KeywordsMedicineScoliosisPerioperativeRadiographySurgerySurgical planningCongenital scoliosisOrthopedic surgeryGeneral surgery

Abstract

fetched live from OpenAlex

STUDY DESIGN: Survey. OBJECTIVE: The aim of this study was to evaluate the surgeon's perspective on the potential impact of prolonged surgical waitlists on the surgical care and perioperative management of patients with scoliosis. SUMMARY OF BACKGROUND DATA: The long waits for surgical treatment of scoliosis found in some countries may have serious implications for the complexity of surgery and perioperative care required if the curve progresses while waiting. The surgeon's perspective on this problem provides important information that needs to be taken into account during resource allocation. METHODS: Radiographs from 13 patients who had waited more than 6 months for scoliosis surgery were selected. Each patient had radiographs from the time of surgical booking and immediately preoperatively. The radiographs and a questionnaire were sent to 3 surgeons to canvass their surgical and postoperative plan. The surgeons were blinded to the fact that the radiographs were of the same patients at 2 time points. The patients' actual course of treatment was documented. RESULTS: Data for 11 patients were available for analysis. The average wait for surgery was 24 months (range, 17-30 mo). The mean curve progression was 25.3° while on the waitlist, from an average of 52° to 77°. By the time the patients had to undergo surgery, more anterior releases were added to posterior instrumentation alone in the surgical plan. Mean estimated operative time increased by 2.2 hours, mean estimated length of hospital stay increased by 1 day, and the estimated level of difficulty of surgery increased 2.33 grades. The predicted estimated blood loss also increased. CONCLUSION: From the surgeon's perspective, lengthy waitlists have a significant negative impact on the perioperative and postoperative care of patients with scoliosis by increasing the complexity of surgery. The actual course of treatment corresponded to the responses from these different surgeons. LEVEL OF EVIDENCE: N/A.

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)0.012
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.062
GPT teacher head0.445
Teacher spread0.383 · 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

Citations38
Published2014
Admission routes1
Has abstractyes

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