The use of wireless ultrasound probes for bedside venous line placement in COVID-19 patients
Bibliographic record
Abstract
Cl: Clem na prospektivn studie bylo poukzat na monosti vyuit bezdrtov ultrazvukov sondy pi zajitn ilnho vstupu u infeknch pacient v dob epidemie. Metodika: V obdob od jna 2020 do konce z 2021 byl iln vstup zaveden u 209 pacient s onemocnnm COVID-19. Vkon byl provdn u lka nemocnho v 176 ppadech (84,2 %) nebo na angiografickm sle v 33 ppadech (15,8 %). Skupinu pacient se ilnm vstupem zavedenm u lka tvoilo 61 en a 115 mu. Prmrn vk pacienta v tto skupin byl 74,9 rok, nejmladmu bylo 16 let, nejstarmu 96 let. V ppad zaveden u lka nemocnho byla u vkonu pouita linern bezdrtov wifi sonda Clarius Scanner L7 HD (Clarius Mobile Health Corp, Vancouver, Canada) nebo 4Echo LeapMed (Guide Imaging, Oostende, Belgie) propojen s velkm 12,9 palcovm tabletem iPad Pro (Apple Inc, Cupertino, USA). Pozice konce centrlnch kattr byla urena pomoc intrakardilnho EKG. Vsledky: iln vstup byl zaveden u vech pacient s pouitm bezdrtov UZ sondy. U ty nemocnch byl vkon opakovn, protoe pi prvnm vkonu dolo u dvou pacient k disekci ly a u dalch dvou pacient ke vzniku hematomu se spazmem ly. Primrn technick spnost zaveden s pouitm WiFi sondy byla 97,7 % (172/176). Nejastji zavedenm vstupem byl midline kattr u 143 pacient. Ve zbytku souboru byl 26krt zaveden z periferie zavdn centrln kattr (PICC), 6krt centrln iln kattr a jednou dialyzan kattr. Zvr: Dle naich zkuenost bezdrtov linern sondy umouj bezpen zaveden ilnho vstupu pmo u lka pacienta s onemocnnm COVID-19. Neptomnost kabelu mezi sondou a tabletem umouje jednodu manipulaci u lka pacienta.
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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 | 0.003 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".