Evidence map›Paper›PMID 33151983›Full record

ArticlePloS one2020

A one-year hospital-based prospective COVID-19 open-cohort in the Eastern Mediterranean region: The Khorshid COVID Cohort (KCC) study.

Ramin Sami, Forogh Soltaninejad, Babak Amra, Zohre Naderi, Shaghayegh Haghjooy Javanmard, Bijan Iraj, Somayeh Haji Ahmadi, Azin Shayganfar, Mehrnegar Dehghan, Nilufar Khademi and 6 more

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 7 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

29 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
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  16. IoT-Based COVID-19 Diagnosing and Monitoring Systems: A Survey.IEEE access : practical innovations, open solutions · 2022
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  17. Gastrointestinal manifestations in patients with coronavirus disease-2019 (COVID-19): Impact on clinical outcomes.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2022
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  18. Clinical characteristics of COVID-19-infected cancer patients, Isfahan, Iran.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2022
    Article
  19. Article
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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

16 authors.

Ramin SamiDepartment of Internal Medicine, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Forogh SoltaninejadThe Respiratory Research Center, Pulmonary Division, Department of Internal Medicine, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Babak AmraBamdad Respiratory Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Zohre NaderiDepartment of Internal Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Shaghayegh Haghjooy JavanmardDepartment of Physiology, School of Medicine, Applied Physiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran.
Bijan IrajIsfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Somayeh Haji AhmadiDepartment of Radiology, Isfahan University of Medical Sciences, Isfahan, Iran.
Azin ShayganfarDepartment of Radiology, Isfahan University of Medical Sciences, Isfahan, Iran.
Mehrnegar DehghanSchool of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Nilufar KhademiSchool of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Nastaran Sadat HosseiniSchool of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Mojgan MortazaviIsfahan Kidney Diseases Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Marjan MansourianDepartment of Epidemiology and Biostatistics, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran.ORCID 0000-0002-7217-0282
Miquel Angel MañanasBiomedical Engineering Research Centre (CREB), Automatic Control Department (ESAII), Universitat Politècnica de Catalunya-Barcelona Tech (UPC), Barcelona, Spain.
Hamid Reza MaratebBiomedical Engineering Research Centre (CREB), Automatic Control Department (ESAII), Universitat Politècnica de Catalunya-Barcelona Tech (UPC), Barcelona, Spain.
Peyman AdibiDigestive Diseases Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 is rapidly scattering worldwide, and the number of cases in the Eastern Mediterranean Region is rising. Thus, there is a need for immediate targeted actions. We designed a longitudinal study in a hot outbreak zone to analyze the serial findings between infected patients for detecting temporal changes from February 2020. In a hospital-based open-cohort study, patients are followed from admission until one year from their discharge (the 1st, 4th, 12th weeks, and the first year). The patient recruitment phase finished at the end of August 2020, and the follow-up continues by the end of August 2021. The measurements included demographic, socio-economics, symptoms, health service diagnosis and treatment, contact history, and psychological variables. The signs improvement, death, length of stay in hospital were considered primary, and impaired pulmonary function and psychotic disorders were considered main secondary outcomes. Moreover, clinical symptoms and respiratory functions are being determined in such follow-ups. Among the first 600 COVID-19 cases, 490 patients with complete information (39% female; the average age of 57±15 years) were analyzed. Seven percent of these patients died. The three main leading causes of admission were: fever (77%), dry cough (73%), and fatigue (69%). The most prevalent comorbidities between COVID-19 patients were hypertension (35%), diabetes (28%), and ischemic heart disease (14%). The percentage of primary composite endpoints (PCEP), defined as death, the use of mechanical ventilation, or admission to an intensive care unit was 18%. The Cox Proportional-Hazards Model for PCEP indicated the following significant risk factors: Oxygen saturation < 80% (HR = 6.3; [CI 95%: 2.5,15.5]), lymphopenia (HR = 3.5; [CI 95%: 2.2,5.5]), Oxygen saturation 80%-90% (HR = 2.5; [CI 95%: 1.1,5.8]), and thrombocytopenia (HR = 1.6; [CI 95%: 1.1,2.5]). This long-term prospective Cohort may support healthcare professionals in the management of resources following this pandemic.

Indexed as

AdultAgedBetacoronavirusComorbidityCoronavirus InfectionsCOVID-19FemaleHospitalizationHumansIntensive Care UnitsIranLongitudinal StudiesMaleMiddle AgedPandemicsPatient Discharge

Identifiers

PMID33151983
PMCPMC7644058

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Registered trials

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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.