Evidence map›Paper›PMID 33571171›Full record

Observational studyMedical science monitor : international medical journal of experimental and clinical research2021

Risk Factors of Coronavirus Disease 2019-Related Mortality and Optimal Treatment Regimens: A Retrospective Study.

Yuehong Wang, Shuang Yao, Xiaoling Liu, Yinghao Cao, Yaling Wang, Mao Xie

Abstract readObservational Study
In one paragraph

Observational study in Medical science monitor : international medical journal of experimental and clinical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Obesity as an independent risk factor for COVID-19 severity and mortality.The Cochrane database of systematic reviews · 2023
    Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yuehong WangDepartment of Pediatrics, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, Zhejiang, China (mainland).
Shuang YaoCancer Prevention Office, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (mainland).
Xiaoling LiuDepartment of Endocrinology, Liyuan Hospital, Tongji Medical College, Huazhong University of Since and Technology, Wuhan, Hubei, China (mainland).
Yinghao CaoDepartment of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (mainland).
Yaling WangWuhan Institution for Tuberculosis Control, Wuhan Pulmonary Hospital, Wuhan, Hubei, China (mainland).
Mao XieDepartment of Orthopedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (mainland).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Coronavirus disease 2019 (COVID-19) is spreading rapidly worldwide, and scientists are trying to find a way to overcome the disease. We explored the risk factors that influence patient outcomes, including treatment regimens, which can provide a reference for further treatment. MATERIAL AND METHODS A retrospective cohort study analysis was performed using data from 97 patients with COVID-19 who visited Wuhan Union Hospital from February 2020 to March 2020. We collected data on demographics, comorbidities, clinical manifestations, laboratory tests, treatment methods, outcomes, and complications. Patients were divided into a recovered group and a deceased group. We compared the differences between the 2 groups and analyzed risk factors influencing the treatment effect. RESULTS Seventy-six patients recovered and 21 died. The average age and body mass index (BMI) of the deceased group were significantly higher than those of the recovered group (69.81±6.80 years vs 60.79±11.28 years, P<0.001 and 24.95±3.14 kg/m² vs 23.09±2.97 kg/m², P=0.014, respectively). The combination of antiviral drugs and supportive therapy appears to be associated with the lowest mortality (P<0.05). Multivariate Cox regression analysis revealed that age, BMI, H-CRP, shock, and acute respiratory distress syndrome (ARDS) were independent risk factors for patients with COVID-19 (P<0.05). CONCLUSIONS Elderly patients and those with a high BMI, as well as patients who experience shock and ARDS, may have a higher risk of death from COVID-19. The combination of antiviral drugs and supportive therapy appears to be associated with lower mortality, although further research is needed.

Indexed as

COVID-19 Drug TreatmentAgedAge FactorsAntiviral AgentsChinaCOVID-19Drugs, Chinese HerbalDrug Therapy, CombinationFemalegamma-GlobulinsHospital MortalityHumansKaplan-Meier EstimateMaleMiddle AgedPrognosisAntiviral AgentsDrugs, Chinese Herbalgamma-Globulins

Identifiers

PMID33571171
PMCPMC7885294

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.