Response to Canbaz and Colleagues
Bibliographic record
Abstract
To the Editor: In Canbaz and colleagues’ thoughtful comments1 on our recent article,2 they noted that, even without a precipitating trauma, older adults may experience functional decline over time. They thus questioned the absence of a control group to support that the observed decline was the result of injuries that would not have happened otherwise. We would like to clarify that our hypothesis was not to prove that trauma was the reason for the observed new activity of daily living (ADL) disabilities but was rather that older adults who developed these disabilities after injuries are frailer and more cognitively impaired than those who did not. Nonetheless, a substudy was conducted (manuscript in preparation) comparing ADL disabilities over time in older adults with injuries and those with medical conditions (matched on age, sex, baseline ADL function, comorbidities, frailty) discharged from emergency departments (EDs). Preliminary results indicate that new disabilities in both groups were similar but that individuals with medical conditions were more fearful of falling, more likely to use a walking aid, and more likely to use the ED and had much less social support than injured older adults. Canbaz and colleagues also state that delirium is common in EDs, which we completely agree with. Delirium was an exclusion criterion in the study. This was more clearly stated in other studies from our team.3, 4 In addition, because all subjects were fit for discharge home from the ED, the risk of missclassifying individuals with delirium as having persistent cognitive impairment was minimal. To answer the question about possible misclassification due to the Montreal Cognitive Assessment (MoCA) cutoff (23/30) used for in-person evaluations, Table 1 compares the initial published risk ratios (RRs) with those found when a MoCA cutoff of 21 is used and shows that the results were very similar to the initial findings.2 Twenty-three percent of older adults were below this, which is comparable to the 25.4% of older adults evaluated in telephone interviews (Modified Telephone Interview for Cognitive Status (TICS-m) cutoff 31/50). We believe that our findings of greater risk of new ADL disabilities with increasing frailty and cognitive impairment are valid. Unfortunately, separate comparative analyses on MoCA and TICS-m subsets could not be performed adequately. With fewer subjects (MoCA subset especially) and given the number of parameters to be estimated, we encountered convergence failures of the multivariate models. We thank Canbaz and colleagues for their interest in our work and hope exchanges like this will continue to help improve research in EDs that are engaged in improving care of older adults. Conflict of Interest: The editor in chief has reviewed the conflict of interest checklist provided by the authors and has determined that the authors have no financial or any other kind of personal conflicts with this paper. Author Contributions: Sirois, Provencher, Émond: preparation of letter. Neveu: statistical analyses. Sponsor's Role: Not applicable.
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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 | 0.007 | 0.051 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.044 | 0.045 |
| Insufficient payload (model declined to judge) | 0.018 | 0.017 |
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".