Perception of Recovery After Pediatric Mild Traumatic Brain Injury Is Influenced by the "Good Old Days" Bias: Tangible Implications for Clinical Practice and Outcomes Research
Why this work is in the frame
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Bibliographic record
Abstract
Recovery from mild traumatic brain injury (mTBI) is primarily based on the resolution of post-concussive symptoms back to a premorbid level. However, the "good old days" bias means fewer premorbid symptoms are retrospectively recalled, thus skewing the determination of recovery relative to pre-injury. The objectives of this study were to investigate the "good old days" bias in pediatric mTBI and demonstrate the implications of this bias on perceived recovery. Children and adolescents 2-18 years old (mean = 10.9, SD = 4.4, N = 412) were recruited after sustaining an mTBI. Ratings of premorbid symptoms were provided: (a) in the Emergency Department (ED; by parents), (b) retrospectively at a 1-month follow-up (by parents and adolescents), and (c) retrospectively at a 3-month follow-up (by parents and adolescents). Parent ratings of premorbid symptoms decreased by 80% from the ED to 1-month post-injury (p < .001) but were stable from 1 to 3 months post-injury (p < .05). Adolescents premorbid ratings declined from 1 to 3 months post-injury. Slow recovery did not have a differential impact on premorbid reporting. Using premorbid ratings obtained in the ED, instead of retrospective symptom reporting at the time of follow-up, suggests that a significant minority of patients believed to be "not recovered" actually have the "same or lower" symptom ratings at 1 (29%) and 3 months (41%) post-injury compared with before the injury. The "good old days" bias is present in pediatric mTBI by 1-month post-injury, influences retrospective symptom reporting, and has measureable implications for determining recovery in research and clinical practice.
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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 | 0.005 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it