Trial reportClinical immunology (Orlando, Fla.)2020
Early predictors of clinical outcomes of COVID-19 outbreak in Milan, Italy.
Trial report in Clinical immunology (Orlando, Fla.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04834934 (Artificial Intelligence - SARS-CoV-2 Risk Evaluation), which is not on this map. Cited by 170 papers, 26 of them syntheses that pooled it.
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.
Artificial Intelligence - SARS-CoV-2 Risk Evaluation
Who cites it
170 citing papers in PubMed, 26 syntheses or guidelines pooled it, 311 citations in OpenAlex.
- Viral reactivations and co-infections in COVID-19 patients: a systematic review.BMC infectious diseases · 2023Pooled it
- Global prevalence and effect of comorbidities and smoking status on severity and mortality of COVID-19 in association with age and gender: a systematic review, meta-analysis and meta-regression.Scientific reports · 2023Pooled it
- Identification of Parameters Representative of Immune Dysfunction in Patients with Severe and Fatal COVID-19 Infection: a Systematic Review and Meta-analysis.Clinical reviews in allergy & immunology · 2023Pooled it
- Effects of the pre-existing coronary heart disease on the prognosis of COVID-19 patients: A systematic review and meta-analysis.PloS one · 2023Pooled it
- Methodological Considerations on COVID-19 Mortality in Cancer Patients: A Systematic Review and Meta-Analysis.JNCI cancer spectrum · 2022Pooled it
- Are patients with cancer at higher risk of COVID-19-related death? A systematic review and critical appraisal of the early evidence.Journal of cancer policy · 2022Pooled it
- Differences in Outcomes and Factors Associated With Mortality Among Patients With SARS-CoV-2 Infection and Cancer Compared With Those Without Cancer: A Systematic Review and Meta-analysis.JAMA network open · 2022Pooled it
- Impact of diabetes on COVID-19 mortality and hospital outcomes from a global perspective: An umbrella systematic review and meta-analysis.Endocrinology, diabetes & metabolism · 2022Pooled it
- Association of Obesity With COVID-19 Severity and Mortality: An Updated Systemic Review, Meta-Analysis, and Meta-Regression.Frontiers in endocrinology · 2022Pooled it
- Pooled it
- The effect of cardiovascular disease and acute cardiac injury on fatal COVID-19: a meta-analysis.The American journal of emergency medicine · 2021Pooled it
- Pre-existing health conditions and severe COVID-19 outcomes: an umbrella review approach and meta-analysis of global evidence.BMC medicine · 2021Pooled it
- Mortality-related risk factors of COVID-19: a systematic review and meta-analysis of 42 studies and 423,117 patients.BMC infectious diseases · 2021Pooled it
- A meta-analysis on the risk factors adjusted association between cardiovascular disease and COVID-19 severity.BMC public health · 2021Pooled it
- Mortality in adult patients with solid or hematological malignancies and SARS-CoV-2 infection with a specific focus on lung and breast cancers: A systematic review and meta-analysis.Critical reviews in oncology/hematology · 2021Pooled it
- Coronary heart disease and COVID-19: A meta-analysis.Medicina clinica · 2021Pooled it
- Obesity aggravates COVID-19: An updated systematic review and meta-analysis.Journal of medical virology · 2021Pooled it
- Pooled it
- Early changes in laboratory parameters are predictors of mortality and ICU admission in patients with COVID-19: a systematic review and meta-analysis.Medical microbiology and immunology · 2021Pooled it
- B-Type Natriuretic Peptide Concentrations, COVID-19 Severity, and Mortality: A Systematic Review and Meta-Analysis With Meta-Regression.Frontiers in cardiovascular medicine · 2021Pooled it
110 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
33 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNational health-system hospitals of Lombardy faced a heavy burden of admissions for acute respiratory distress syndromes associated with coronavirus disease (COVID-19). Data on patients of European origin affected by COVID-19 are limited.
methodsAll consecutive patients aged ≥18 years, coming from North-East of Milan's province and admitted at San Raffaele Hospital with COVID-19, between February 25th and March 24th, were reported, all patients were followed for at least one month. Clinical and radiological features at admission and predictors of clinical outcomes were evaluated.
resultsOf the 500 patients admitted to the Emergency Unit, 410 patients were hospitalized and analyzed: median age was 65 (IQR 56-75) years, and the majority of patients were males (72.9%). Median (IQR) days from COVID-19 symptoms onset was 8 (5-11) days. At hospital admission, fever (≥ 37.5 °C) was present in 67.5% of patients. Median oxygen saturation (SpO2) was 93% (range 60-99), with median PaO
conclusionIn a large cohort of COVID-19 patients of European origin, main risk factors for mortality were older age, comorbidities, low lymphocyte count and high RALE.
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.