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Record W2775819946 · doi:10.1097/brs.0000000000002469

Medical Malpractice Claims Following Incidental Durotomy Due to Spinal Surgery

2017· article· en· W2775819946 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSpine · 2017
Typearticle
Languageen
FieldHealth Professions
TopicMedical Malpractice and Liability Issues
Canadian institutionsRoyal Bank of Canada
Fundersnot available
KeywordsMedicinePlaintiffSurgeryMalpracticeMedical malpracticeCerebrospinal fluid leakRetrospective cohort studyComplicationGeneral surgeryCerebrospinal fluidInternal medicine

Abstract

fetched live from OpenAlex

STUDY DESIGN: Retrospective cohort study. OBJECTIVE: Analyze medical malpractice verdicts and settlements associated with incidental durotomy. SUMMARY OF BACKGROUND DATA: Incidental durotomy is a common complication of spine surgery. Although most intraoperative dural tears are repaired without sequelae, persistent Cerebrospinal Fluid leak, infection, or neurological injury can yield adverse outcomes. The medicolegal implications of incidental durotomy are poorly understood. METHODS: Three separate, large legal databases were queried for cases involving incidental durotomy. Case, plaintiff, procedure, and outcome characteristics were analyzed. RESULTS: In total, 48 dural tear-related medical malpractice cases were analyzed. Most cases (56.3%) resulted in a ruling in favor of the defendant physician. Most cases alleged neurological deficits (86.7%). A large majority of cases without neurological sequelae had an outcome in favor of the defendant (83.3%). For cases involving a payment, the average amount was $2,757,298 in 2016 adjusted dollars. Additional surgery was required in 56.3% of cases, a delay in diagnosis/treatment of durotomy was present in 43.8%, and alleged improper durotomy repair was present in 22.9%. A favorable outcome for the plaintiff was more likely in cases with versus without alleged delay in diagnosis/treatment (61.9% vs. 29.6%, P = 0.025) and improper durotomy repair technique (72.7% vs. 35.1%, P = 0.040). Repeat surgery was not associated with favorable outcome for the plaintiff (42.8% cases with reoperation vs. 38.1% without, P = 0.486). CONCLUSION: This analysis of durotomy-associated closed malpractice claims after spine surgery is the largest yet conducted. Durotomy cannot always be considered an entirely benign event, and these findings have several direct implications for clinicians: late-presenting or dehiscent durotomy may be associated with adverse outcomes and subsequent risk of litigation, timely reoperation in the event of durotomy-related complications may not increase surgeon liability, and spine surgeons should be prepared to defend their choice of durotomy repair technique, should dehiscence occur. LEVEL OF EVIDENCE: 3.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.046
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.251
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.046
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.005

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 head0.090
GPT teacher head0.494
Teacher spread0.404 · 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