ArticleBMJ (Clinical research ed.)2003
Haematological manifestations in patients with severe acute respiratory syndrome: retrospective analysis.
Article in BMJ (Clinical research ed.), 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 337 papers, 13 of them syntheses that pooled it.
What it found
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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.
Evaluation of Clinical Parameters Following COVID-19 Infection in Pregnancy (COpregVID)
A Multicenter, Adaptive, Randomized Controlled Platform Trial of the Safety and Efficacy of Antithrombotic and Additional Strategies in Hospitalized Adults With COVID-19
Who cites it
337 citing papers in PubMed, 13 syntheses or guidelines pooled it, 585 citations in OpenAlex.
- Systemic inflammation in COVID-19 patients may induce various types of venous and arterial thrombosis: A systematic review.Scandinavian journal of immunology · 2021Pooled it
- Meta-analysis of single-cell RNA-seq data reveals phenotypic switching of immune cells in severe COVID-19 patients.Computers in biology and medicine · 2021Pooled it
- Clinical and laboratory findings of COVID-19: A systematic review and meta-analysis.Journal of the Formosan Medical Association = Taiwan yi zhi · 2021Pooled it
- COVID-19 in pregnancy: a systematic review of chest CT findings and associated clinical features in 427 patients.Clinical imaging · 2021Pooled it
- Incidence and impact of disseminated intravascular coagulation in COVID-19 a systematic review and meta-analysis.Thrombosis research · 2021Pooled it
- COVID-19 and coagulation dysfunction in adults: A systematic review and meta-analysis.Journal of medical virology · 2021Pooled it
- Deciphering the COVID-19 cytokine storm: Systematic review and meta-analysis.European journal of clinical investigation · 2021Pooled it
- Prevalence and Impact of Coagulation Dysfunction in COVID-19 in China: A Meta-Analysis.Thrombosis and haemostasis · 2020Pooled it
- Anticoagulation in COVID-19: A Systematic Review, Meta-analysis, and Rapid Guidance From Mayo Clinic.Mayo Clinic proceedings · 2020Pooled it
- Pooled it
- Comparison of confirmed COVID-19 with SARS and MERS cases - Clinical characteristics, laboratory findings, radiographic signs and outcomes: A systematic review and meta-analysis.Reviews in medical virology · 2020Pooled it
- D-Dimer Concentrations and COVID-19 Severity: A Systematic Review and Meta-Analysis.Frontiers in public health · 2020Pooled it
- Association of Peripheral Lymphocyte and the Subset Levels With the Progression and Mortality of COVID-19: A Systematic Review and Meta-Analysis.Frontiers in medicine · 2020Pooled it
- Compartmental immunophenotyping in COVID-19 ARDS: A case series.The Journal of allergy and clinical immunology · 2021Trial
- New Simplified White Blood Cells Score Improves Mortality Prediction in Severe COVID-19 Patients.Journal of clinical medicine · 2026Article
- Correlation Between Disease Severity and Chest Computed Tomography Findings in Coronavirus Disease 2019 Patients in a University Hospital of Bangladesh-An Observational Study.Health science reports · 2026Article
- LCMV-mediated loss of virtual memory CD8 T cells yields a functionally enhanced T cell subset.iScience · 2025Article
- Functional mass spectrometry indicates anti-protease and complement activity increase with COVID-19 severity.Experimental biology and medicine (Maywood, N.J.) · 2025Article
- Dynamic changes in platelet counts and psychological state in ITP patients after COVID-19 infection.Frontiers in medicine · 2025Article
- COVID-19: a vascular nightmare unfolding.Frontiers in immunology · 2025Review
277 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo evaluate the haematological findings of patients with severe acute respiratory syndrome (SARS).
designAnalysis of the demographic, clinical, and laboratory characteristics of patients with SARS.
settingPrince of Wales Hospital, Hong Kong. Subjects All patients with a diagnosis of SARS between 11 March and 29 March 2003 who had no pre-existing haematological disorders.
main outcome measuresClinical end points included the need for intensive care and death. Univariate and multivariate analyses were performed to examine factors associated with adverse outcome.
results64 male and 93 female patients were included in this study. The most common findings included lymphopenia in 153 (98%) of the 157 patients, neutrophilia in 129 (82%), thrombocytopenia in 87 patients (55%), followed by thrombocytosis in 77 (49%), and isolated prolonged activated partial thromboplastin time in 96 patients (63%). The haemoglobin count dropped by more than 20 g/l from baseline in 95 (61%) patients. Four patients (2.5%) developed disseminated intravascular coagulation. Lymphopenia was shown in haemato-lymphoid organs at postmortem examination. Multivariate analysis showed that advanced age and a high concentration of lactate dehydrogenase at presentation were independent predictors of an adverse outcome. Subsets of peripheral blood lymphocytes were analysed in 31 patients. The counts of CD4 positive and CD8 positive T cells fell early in the course of illness. Low counts of CD4 and CD8 cells at presentation were associated with adverse outcomes.
conclusionsAbnormal haematological variables were common among patients with SARS. Lymphopenia and the depletion of T lymphocyte subsets may be associated with disease activity.
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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.