ArticleAnnals of medicine and surgery (2012)2022
Clinical Characteristics and Prognosis of COVID-19 patients in Syria: A cross-sectional multicenter study.
Article in Annals of medicine and surgery (2012), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Forecasting COVID-19 inpatient mortality using fundamental parameters in resource-constrained settings: a countrywide multi-center cohort study.BMC infectious diseases · 2025Article
- Critical biomarkers in the battle against COVID-19: unveiling thrombotic risks and predictive indicators in Syrian hospitals.Annals of medicine and surgery (2012) · 2025Article
- Monkeypox awareness and public health challenges in conflict affected syria 2024.Scientific reports · 2025Article
- Lessons learnt from the first wave of COVID-19 in Damascus, Syria: a multicentre retrospective cohort study.BMJ open · 2023Article
- Clinical profile, treatment, and outcomes of patients with COVID-19 in a tertiary referral hospital in South Sumatera, Indonesia: A retrospective single-center study.Belitung nursing journal · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: COVID-19 ignited a global pandemic that, in Syria, further strained a nation and its healthcare system already ravaged by years of war and sanctions. The first case in Syria was reported on March 22, 2020, and this is the first study that aimed to describe the clinical characteristics, comorbidities, and prognosis of COVID-19 patients in Syria. Materials and methods: Demographic and clinical data for this cross-sectional prospective study were collected on COVID-19 patients with positive polymerase chain reaction tests who were admitted to Al Assad and Al Mouwasat university hospitals between April 1 and January 31 of 2021. Results: This study included 701 patients. The majority were over age 60 (59%) and male (67.9%). The commonest symptoms were fever (86.6%) and shortness of breath (75.6%). The commonest comorbidities were hypertension (53.9%) and diabetes mellitus (41.5%). On multivariable analysis, risk factors found to be significantly associated with poor outcomes were advanced age (≥60 years); male gender; high respiratory rate (>35); respiratory failure (PaO₂/FiO₂ ratio<100); heart failure; chronic lung disease; elevated white blood cell counts, lactate dehydrogenase, c-reactive protein; prolonged international normalized ratio; and low lymphocyte counts. The clinical outcomes of our patients were as follows: 59.2% improved and were discharged from the hospital, 3.5% were discharged with persistent symptoms and 37.2% died. Conclusion: Several biomarkers can serve as early warning and prognostic indicators of severe illness and mortality from COVID-19 in the highest risk patients, especially males with multiple comorbidities over 60 years of age. In the context of a national healthcare system stretched thin by years of civil war and sanctions, and high COVID-19 mortality rates as a consequence, extra care should be taken to use the predictive power of these biomarkers to stratify high-risk patients in the earliest possible stages of the disease to minimize severe illness and reduce fatalities.
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.