Preventive effect of polynucleotide on post‐thyroidectomy scars: A randomized, double‐blinded, controlled trial
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: Polynucleotide (PN) provides a structural scaffold to induce anti-inflammatory and enhanced wound healing properties, and this study aimed to assess the efficacy of PN administration in the prevention of post-operative scars after conventional open total thyroidectomy. STUDY DESIGN MATERIALS AND METHODS: Forty-two patients with thyroid carcinoma who underwent total thyroidectomy were randomly assigned to the study (PN administration) or control (normal saline) group. All patients underwent a single session of combined ablative and non-ablative fractional laser. The Vancouver Scar Scale (VSS), global photographic assessment, and objective scar were assessed using three-dimensional (3D) camera at baseline and at 2, 4, 8, and 16 weeks after surgery. RESULTS: Patients who underwent PN injection demonstrated better surgical scar quality outcome. Participants in the PN administration group had lower VSS scores than the control group (2.09 ± 0.47 vs. 4.01 ± 0.55, respectively) and lower scar height (0.23 ± 0.03 vs. 0.29 ± 0.03, respectively), as measured using 3D imaging. Furthermore, in the PN injected group, the degree of erythema, and pigmentation of the scar were less prominent. No patient developed hypertrophic scar or keloids on the surgical site. No other adverse events, including post-inflammatory hyperpigmentation, scarring, or infection, were observed. CONCLUSION: Adjuvant administration of PN along with conventional fractional laser treatment led to more favorable effect in wound healing and post-operative scar prevention after thyroidectomy. Lasers Surg. Med. © 2018 Wiley Periodicals, Inc.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".