ReviewThe American journal of the medical sciences2021
Literature Review of COVID-19, Pulmonary and Extrapulmonary Disease.
Review in The American journal of the medical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 17 citations in OpenAlex.
- Development and validation of nomogram models for severe and fatal COVID-19.Scientific reports · 2024Article
- Excess Deaths During the COVID-19 Pandemic in Southern Iran: Estimating the Absolute Count and Relative Risk Using Ecological Data.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2024Article
- COVID-19 Biomarkers at the Crossroad between Patient Stratification and Targeted Therapy: The Role of Validated and Proposed Parameters.International journal of molecular sciences · 2023Review
- COVID-19 and the Liver: A Complex and Evolving Picture.Hepatic medicine : evidence and research · 2023Article
- Persistence and occurrence of SARS-CoV-2 in water and wastewater environments: a review of the current literature.Environmental science and pollution research international · 2022Review
- Article
- Potentials of post-mortem CT investigations during SARS-COV-2 pandemic: a narrative review.La Radiologia medica · 2022Review
- [Kidney damage in COVID-19].Nephrologie & therapeutique · 2021Article
- Discrepancies in the clinical and radiological profiles of COVID-19: A case-based discussion and review of literature.World journal of radiology · 2021Review
- Association Between Psychological Distress, Cognitive Complaints, and Neuropsychological Status After a Severe COVID-19 Episode: A Cross-Sectional Study.Frontiers in psychiatry · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In December 2019 novel coronavirus-Severe Acute Respiratory Syndrome-Corona Virus2 (SARS-CoV2)-originated from Wuhan, China, and spread rapidly around the world. This literature review highlights the dynamic nature of COVID-19 transmission and presentation. Analyzing 59 relevant articles up to May 1st, 2020 reflects that the main reported clinical manifestation of COVID-19 pandemic is fever and respiratory involvement. Also, current literature demonstrates a wide spectrum of different and atypical presentation(s) of COVID-19. The definite route of SARS-CoV2 transmission is respiratory droplets, however, virus nucleic acid has been detected in the stool and urine specimens as well. The severity of symptoms and outcomes of COVID-19 vary based on the patient's medical background, age, sex, and concurrent medical conditions (e.g. pregnancy). This is the first review that classifies all essential points regarding COVID-19 manifestations at a glance to improve the outcome of the patients by a better insight into diagnosis and management.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.