Neurology and COVID-19: Time to burn the candle at both ends
Bibliographic record
Abstract
Although the most prominent feature of SARS-CoV-2 infection is respiratory involvement, neurological manifestations continue to be increasingly reported from various centers, and a slew of systematic reviews summarizing the same in COVID-19 has emerged in recent literature.[1-4] Notably, multiple levels of neuraxial involvement as well as myriad putative mechanisms ranging from direct infiltration, retrograde transmission, para- and post-infectious immune-mediated mechanisms to explain neurological findings have been described. While we continue to accrue observational data on neurological conditions in patients infected with SARS-CoV-2, we must simultaneously answer one core question, that is, pertaining to causality. Are the neurological features that we report induced by infection with SARS-CoV-2 or are these mere associations? The appropriate tool by which this may be answered is a case-control study design, which is currently not feasible, considering challenges in determining exposure. In this scenario, the next best approach would be a collective effort to create and maintain a registry of COVID-19 patients with neurological conditions, as well as clear and transparent reports of observations which avoid being over-interpretative. Efforts are underway for the former in several countries. The Spanish Neurological Society [www.sen.es], amidst the ongoing pandemic, has created a registry of acute and subacute neurological conditions appearing in patients with SARS-CoV-2 infection. The CoroNerve Studies Group has been set up as a collaborative venture in the United Kingdom (www.CoroNerve.com). It has been learnt that an Indian registry is also being set up under the aegis of the World Federation of Neurology. As has been emphasized by Ellul et al., we must seek to define causality in COVID-19 by applying the Bradford Hill criteria, 1965, key principles of which include strength, specificity and consistency of association, biological plausibility, biological gradient, temporal relationship to proposed agent, and supportive experimental evidence.[5] While acute and subacute de novo neurological conditions continue to be reported, we also need to remember to be on the lookout for long-term or delayed neurological features and complications. Considering the SARS-CoV-1 as well as other historical paradigms, these may perhaps not be uncommon. Following the 2003 outbreak, a Canadian study reported chronic neurological concerns among 22 healthcare workers 13 to 26 months following SARS-CoV-1 infection. These included sleep disturbances with increased Rapid Eye Movement (REM) apneas/hypopneas, depression, myalgias, persistent fatigue, and increased sleep Electroencephalography (EEG) cyclical alternating pattern.[6] Encephalitis lethargica, a form of Parkinsonism, was reported following the 1918–1920 influenza epidemic although epidemiological analyses later suggested that these disorders were possibly co-incidental.[7] Moreover, while we grapple with COVID-19 and its neurological ramifications, let us not forget the non-COVID patients with neurological illnesses. A comprehensive stroke center in Canada has preliminarily documented declining stroke rates, with an average fall of 38% in new stroke cases during the COVID-19 period which was mostly attributable to the smaller proportion of patients accessing healthcare services.[8] Certainly, practical barriers to implementing and sustaining the continuity of neurological care in patients without COVID-19 are tremendous despite which care must be ensured to avoid corollary damage to this group of patients. It is also clear that most of the data on neurological involvement in COVID-19 is anecdotal and fragmentary and likely represents the tip of the iceberg; epidemiological studies would serve as optimal vehicles to answer questions not only related to the neurology of COVID-19 but the disease itself. As neurologists, the battle against COVID-19 is going to be long and hard-won, and we must continue to keep our noses to the grindstone.
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 | 0.023 | 0.070 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.011 | 0.034 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.018 | 0.026 |
| Insufficient payload (model declined to judge) | 0.065 | 0.026 |
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".