Single Versus Double-Incision Technique for the Repair of Acute Distal Biceps Tendon Ruptures
Bibliographic record
Abstract
BACKGROUND: This clinical trial was done to evaluate outcomes of the single and double-incision techniques for acute distal biceps tendon repair. We hypothesized that there would be fewer complications and less short-term pain and disability in the two-incision group, with no measureable differences in outcome at a minimum of one year postoperatively. METHODS: Patients with an acute distal biceps rupture were randomized to either a single-incision repair with use of two suture anchors (n = 47) or a double-incision repair with use of transosseous drill holes (n = 44). Patients were followed at three, six, twelve, and twenty-four months postoperatively. The primary outcome was the American Shoulder and Elbow Surgeons (ASES) elbow score. Secondary outcomes included muscle strength, complication rates, and Disabilities of the Arm, Shoulder and Hand (DASH) and Patient-Rated Elbow Evaluation (PREE) scores. RESULTS: All patients were male, with no significant differences in the mean age, percentages of dominant hands affected, or Workers' Compensation cases between groups. There were also no differences in the final outcomes (at two years) between the two groups (p = 0.4 for ASES pain score, p = 0.10 for ASES function score, p = 0.3 for DASH score, and p = 0.4 for PREE score). In addition, there were no differences in isometric extension, pronation, or supination strength at more than one year. A 10% advantage in final isometric flexion strength was seen in the patients treated with the double-incision technique (104% versus 94% in the single-incision group; p = 0.01). There were no differences in the rate of strength recovery. The single-incision technique was associated with more early transient neurapraxias of the lateral antebrachial cutaneous nerve (nineteen of forty-seven versus three of forty-three in the double-incision group, p < 0.001). There were four reruptures, all of which were related to patient noncompliance or reinjury during the early postoperative period and appeared to be unrelated to the fixation technique (p = 0.3). CONCLUSIONS: There were no significant differences in outcomes between the single and double-incision distal biceps repair techniques other than a 10% advantage in final flexion strength with the latter. Most complications were minor, with a significantly greater prevalence in the single-incision group.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".