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Record W2979263955 · doi:10.1177/1071100719879930

Variability in the Reporting Terminology of Adverse Events and Complications in Ankle Fracture Fixation: A Systematic Review

2019· review· en· W2979263955 on OpenAlexaff
Stefan A. St George, Hooman Sadr, Chayanin Angthong, Murray J. Penner, Peter Salat, Kevin Wing, Alistair Younger, Andrea Veljkovic

Bibliographic record

VenueFoot & Ankle International · 2019
Typereview
Languageen
FieldMedicine
TopicFoot and Ankle Surgery
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineTerminologyAnkleAdverse effectOrthopedic surgeryCommon Terminology Criteria for Adverse EventsInclusion and exclusion criteriaSystematic reviewMEDLINEPhysical therapySurgeryIntensive care medicineAlternative medicineInternal medicinePathology

Abstract

fetched live from OpenAlex

BACKGROUND: Classification systems for the reporting of surgical complications have been developed and adapted for many surgical subspecialties. The purpose of this systematic review was to examine the variability and frequency of reporting terms used to describe adverse events and complications in ankle fracture fixation. We hypothesized that the terminology used would be highly variable and inconsistent, corroborating previous results that have suggested a need for standardized reporting terminology in orthopedics. METHODS: Ankle fracture outcome studies meeting predetermined inclusion and exclusion criteria were selected for analysis by 2 independent observers. Terms used to define adverse events and complications were identified and recorded. Discrepancies were resolved by consensus with the aid of a third observer. All terms were then compiled and assessed for variability and frequency of use throughout the studies involved. Reporting terminology was subsequently grouped into 10 categories. RESULTS: In the 48 studies analyzed, 301 distinct terms were utilized to describe complications or adverse events. Of these terms, 74.4% (224/301) were found in a single study each. Only 1 term, "infection," was present in 50% of studies, and only 19 of 301 terms (6.3%) were used in at least 10% of papers. The category that was most frequently reported was "infection," with 89.6% of studies reporting on this type of adverse event using 25 distinct terms. Other categories were "wound healing complications" (72.9% of papers, 38 terms), "bone/joint complications" (66.7% of papers, 35 terms), "hardware/implant complications" (56.3% of papers, 47 terms), "revision" (56.3% of papers, 35 terms), "cartilage/soft tissue injuries" (45.8% of papers, 31 terms), "reduction/alignment issues" (45.8% of papers, 29 terms), "medical complications" (43.8% of papers, 32 terms), "pain" (29.2% of papers, 16 terms), and "other complications" (20.8% of papers, 13 terms). There was a 78.6% interobserver agreement in the identification of terms across the 48 studies included. CONCLUSION: The reporting terminology utilized to describe complications and adverse events in ankle fracture fixation was found to be highly variable and inconsistent. This variability prevents accurate reporting of complications and adverse events and makes the analysis of potential outcomes difficult. The development of standardized reporting terminology in orthopedics would be instrumental in addressing these challenges and allow for more accurate and consistent outcome reporting. LEVEL OF EVIDENCE: Level III; systematic review of Level III studies and above.

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 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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.155
Threshold uncertainty score0.638

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.087
GPT teacher head0.392
Teacher spread0.305 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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

Citations12
Published2019
Admission routes1
Has abstractyes

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