Bibliographic record
Abstract
Pneumothorax, the accumulation of air between the visceral and parietal pleurae, represents a potentially serious cause of chest pain in patients presenting to the emergency department. While there are known risk factors for spontaneous pneumothorax, in rare cases dry needling and acupuncture, forms of complementary and alternative medicine, have been known to result in pneumothorax. We present a case of a 38-year-old healthy female who presented with acute onset of pleuritic chest pain to the Emergency Department. On further history, it was discovered that she had received dry needling acupuncture for unrelated back pain the day prior to presentation. She was initially investigated with an electrocardiogram (ECG), which was unremarkable, and point of care ultrasound (POCUS), which showed absent lung sliding and the presence of a lung point on the right side, indicative of pneumothorax. This case describes the key features of pneumothorax on POCUS and how POCUS can be a valuable tool in the diagnosis of lung pathologies and highlights the importance of considering the rare but potentially serious complications of complementary and alternative medicine practices which are typically regarded as safe.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".