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Record W2576443096 · doi:10.1055/s-0035-1554170

When Would a Spine Surgeon Have Surgery for a Herniated Disc?

2015· article· en· W2576443096 on OpenAlexaboutno aff
Richard D. Guyer, Emily Putney, Allen Carl, Gil Tepper, Donna D. Ohnmeiss

Bibliographic record

VenueGlobal Spine Journal · 2015
Typearticle
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSciaticaDemographicsLow back painLumbar spineSurgeryGeneral surgeryBack painPhysical therapyAlternative medicine

Abstract

fetched live from OpenAlex

Introduction Surgical indications are not always clear cut and patients need to participate in the process of making an informed decision, weighing the potential risks, and benefits to have surgery or not. This decision is likely heavily influenced based on their pain level, work, and activity limitations. There is much information available on the outcomes and complications of surgery for lumbar disc herniation. The purpose of this study was to determine for which indications spine surgeons would have surgery themselves. Materials and Methods A survey was designed using Survey Monkey, which ensures responses are anonymous. The survey was sent to the ISASS surgeon membership. The survey collected basic demographics. The scenario for seeking treatment was that if you had sciatica with a 5 mm disc herniation identified on MRI and pain at the confirmed level, when would you consider some form of direct decompressive surgery? The second set of questions addressed if in the same circumstances and having failed nonoperative care, separately assessed pain level, work limitation level, and nonwork activity limitation level for which the surgeon would have spine surgery to treat the herniated disc. Results There were 67 responses to the survey. The majority of those completing the survey were in the age ranges of 45 to 54 years (40.3%) and 55 to 64 years (35.8%). The most frequent response selected to the question about the number of years in practice was 21 to 30 years (43.3%). More than half selected one of the two categories indicating performing between 100 and 300 spine surgeries a year. The majority of responses came from members in the United States, but there were participants from Canada, Australia, Europe, and Asia. Responses to the question about having surgery for a 5 mm herniation indicated that 75.8% of surgeons would have surgery if they had buttock and leg pain below the knee that limited work activities 2 of 5 days so that on those 2 days you had to stop after half day of work. Less than 20% would have surgery if symptoms interfered with nonwork activities, but not work. Of note, 18.2% indicated that they would not have surgery for the herniated disc regardless of the symptoms experienced. The second series of questions separately assessed pain, work, and nonwork activities. With respect to pain intensity, on a 0 to 10 scale, 63.6% would have surgery for scores of 7 to 10. With respect to work, 39.4% indicated they would have surgery if experiencing continual pain at work, 34.8% would have surgery if able to work only half days, and 19.7% would have surgery only if they were unable to work at all. Partial limitation of activities would lead 28.4% of respondents to have surgery, while 68.7% would have surgery if their activities were severely limited. Discussion The results of this survey found that many spine surgeons would have surgery if the pain was 7 or greater on a scale of 10, they continually experienced pain during work or had severely limited activities. Interestingly, 18.2% indicated they would not have surgery regardless of symptoms.

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)0.003
metaresearch head score (Gemma)0.021
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 score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.002

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 head0.069
GPT teacher head0.339
Teacher spread0.270 · 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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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