COVID‐19 and congenital heart disease: <i>Cardiopulmonary interactions for the worse!</i>
Bibliographic record
Abstract
Pediatric AnesthesiaVolume 30, Issue 10 p. 1160-1161 CORRESPONDENCE COVID-19 and congenital heart disease: Cardiopulmonary interactions for the worse! Rohan Magoon, Corresponding Author Rohan Magoon [email protected] orcid.org/0000-0003-4633-8851 Department of Cardiac Anaesthesia, Atal Bihari Vajpayee Institute of Medical Sciences (ABVIMS), Dr. Ram Manohar Lohia Hospital, New Delhi, India Correspondence Rohan Magoon, Department of Cardiac Anaesthesia, Atal Bihari Vajpayee Institute of Medical Sciences (ABVIMS), Dr. Ram Manohar Lohia Hospital, Baba Kharak Singh Marg, New Delhi 110001, India. Email: [email protected]Search for more papers by this author Rohan Magoon, Corresponding Author Rohan Magoon [email protected] orcid.org/0000-0003-4633-8851 Department of Cardiac Anaesthesia, Atal Bihari Vajpayee Institute of Medical Sciences (ABVIMS), Dr. Ram Manohar Lohia Hospital, New Delhi, India Correspondence Rohan Magoon, Department of Cardiac Anaesthesia, Atal Bihari Vajpayee Institute of Medical Sciences (ABVIMS), Dr. Ram Manohar Lohia Hospital, Baba Kharak Singh Marg, New Delhi 110001, India. Email: [email protected]Search for more papers by this author First published: 30 September 2020 https://doi.org/10.1111/pan.14004Citations: 17 Britta von Ungern-Sternberg Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookxLinkedInRedditWechat No abstract is available for this article. REFERENCES 1Lee-Archer P, von Ungern-Sternberg BS. Pediatric anesthetic implications of COVID-19 – a review of current literature. Paediatr Anaesth. 2020; 30(6): 136-141. 10.1111/pan.13889 Web of Science®Google Scholar 2Cristiani L, Mancino E, Matera L, et al. Will children reveal their secret? The coronavirus dilemma. Eur Respir J. 2020; 55:2000749. 10.1183/13993003.00749-2020 CASPubMedWeb of Science®Google Scholar 3Radke RM, Frenzel T, Baumgartner H, Diller G-P. Adult congenital heart disease and the COVID-19 pandemic. Heart. 2020; 106(17): 1302-1309. 10.1136/heartjnl-2020-317258 CASPubMedWeb of Science®Google Scholar 4Shekerdemian LS, Mahmood NR, Wolfe KK, et al. Characteristics and outcomes of children with coronavirus disease 2019 (COVID-19) infection admitted to US and Canadian pediatric intensive care units. JAMA Pediatr. 2020. https://doi.org/10.1001/jamapediatrics.2020.1948. [Online ahead of print] 10.1001/jamapediatrics.2020.1948 PubMedWeb of Science®Google Scholar 5 Covid-19 (corona virus): vulnerable groups with congenital heart disease; 2020. https://www.bcca-uk.org/pages/news_box.asp?NewsID=19495710. Accessed August 1, 2020. [Accessed 01 August 2020]. Google Scholar 6Bitsadze VO, Grigoreva K, Khizroeva JK, et al. Novel coronavirus infection and Kawasaki disease. J Matern-Fetal Neonatal Med. 2020; 1-5. https://doi.org/10.1080/14767058.2020.1800633. [Online ahead of print] Web of Science®Google Scholar 7Worku E, Gill D, Brodie D, Lorusso R, Combes A, Shekar K. Provision of ECPR during COVID-19: evidence, equity, and ethical dilemmas. Crit Care. 2020; 24: 462. PubMedWeb of Science®Google Scholar Citing Literature Volume30, Issue10October 2020Pages 1160-1161 ReferencesRelatedInformation
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".