Letter to the Editor: Recommendations for the Care of Pediatric Orthopaedic Patients During the COVID-19 Pandemic
Bibliographic record
Abstract
To the Editor: We read with interest the review by Farrell et al1 regarding modifications to paediatric orthopaedic practice which may be necessary in the context of the COVID-19 pandemic. We particularly wish to focus on their comments regarding developmental dysplasia of the hip (DDH). We write on behalf of the International Interdisciplinary Consensus Committee on DDH Evaluation, a recently formed organisation of specialists concerned with the early detection and treatment of DDH, and the promotion and teaching of the Graf method of infant hip ultrasonography.2,3 We note that our colleagues in Australia and Canada propose to “postpone assessment and treatment of DDH for the next 2 to 4 months.” We fully understand and share the concerns that lie behind this proposal. Indeed some of our own members are located in some of the centers in Europe which have been worst affected by the pandemic. However, we feel some points are worthy of note. First, as of now, we do not know if circumstances will be any more favorable in 2 to 4 months' time. Indeed, some point out that the COVID-19 event still has a long way to run, and restrictions may have to continue for many months and/or until a vaccine is developed.4 Although good outcomes can of course be achieved for children who present late with DDH, early treatment is associated with the best results, including the avoidance of late and often complex surgery.5,6 Even in the context of early, closed treatment, time is of the essence. Pavlik harness treatment for example, has been shown to be less effective over the age of 4 months.7 Therefore, a decision to defer the treatment of 2 to 4 months, let alone a longer period of time, cannot be taken lightly. The authors rightly raise concerns about the dangers involved in bringing small children into the acute hospital setting at this time. In the case of some of our own members, assessment and early closed treatment of DDH occurs outside such settings, for example, in community-based clinics; in the cases of others, the process has been moved out of the acute hospital to a community setting for the duration of the crisis. In any case, however, only a single parent/legal guardian/accompanying person should be allowed along with the child. We suggest that this may provide an answer to this concern; of course, all necessary precautions must be observed. We realise that circumstances in every centre are different, and at this time, it behoves all of us to be mutually helpful. We hope our comments will encourage colleagues, where local circumstances permit, to continue efforts as far as possible in detection and treatment of DDH. Finally, we agree with the authors that at a later stage there will be a need for research into the impact which the pandemic has had on paediatric orthopaedic outcomes—which of course includes DDH.
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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 | 0.005 | 0.058 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.024 | 0.024 |
| Insufficient payload (model declined to judge) | 0.007 | 0.007 |
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".