CClinicalTrials.gg
CompletedNCT04366024Updated Feb 23, 2024

A Novel Nomogram to Predict Severity of COVID-19

An observational study in COVID-19 Disease and Nomogram Model, sponsored by Xinqiao Hospital of Chongqing. Completed at 1 site in China. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2024-02-23.

Sponsored by Xinqiao Hospital of Chongqing · Observational

Study type
Observational
Model
Case-only
Time perspective
Retrospective
Enrollment
1,000
Ages
18 Years and older
Sex
All
01

Study summary

Investigators use clinical data from a large sample of COVID-19 disease patients to screen out biomarkers associated with disease severity. Then, a novel nomogram model will be established to predict covid-19 disease severity, which could provide important assistance and supplement for clinical work. In the case of extremely shortage of front-line medical resources, patients with potential severe diseases will be timely treated with the help of the novel nomogram model.

02

Conditions studied

  • COVID-19 Disease
  • Nomogram Model

Browse trials for

03

In context

COVID-19

7,640 studies on the registry are indexed under COVID-19; 488 are open to participants now.

This study's enrollment of 1,000 is above the median of 261 across 3,136 observational studies indexed under COVID-19.

Browse COVID-19 studies →

Lead sponsor

Xinqiao Hospital of Chongqing is the lead sponsor of 68 studies on the registry; 21 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Sampling method
Probability sample

Study population

COVID-19 disease patients

Inclusion criteria

  • COVID-19 disease patients confirmed by virus nucleic acid RT-PCR and CT

Exclusion criteria

Exclusion Criteria:

  • unconfirmed suspected cases
  • Patients during pregnancy and lactation
  • incomplete clinical data
  • investigators considered patients ineligible for the trial
  • Child patients
05

Study design

Observational model
Case-only
Time perspective
Retrospective
Enrollment
1,000 participants (actual)
Patient registry
No

Groups and cohorts

  • Observed group

    COVID-19 disease patients who were detected by RT-PCR and CT imaging.

    Other: other

Interventions

  • Otherother

    clinical diagnosis

06

What researchers measure

Primary outcomes

  1. the consistency of predicted severe rate and observed severe rate of COVID-19 patients

    We aim to use the clinical data of COVID-19 patients to construct a nomogram model to predict the severe rate of each patient, then the the consistency of predicted severe rate and observed severe rate will be evaluated by calibration plot.

    Time frame: up to 3 months

  2. Duration of severe illness

    the duration of severe illness of each patient will evaluated

    Time frame: up to 3 months

07

Study locations

1 site
  • Xinqiao Hospital of Chongqing
    Chongqing, Chongqing 400000, China
08

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Feb 23, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
09

Registry details

Key details

Study ID
NCT04366024
Lead sponsor
Xinqiao Hospital of Chongqing
Responsible party
Jianguo Sun (Deputy Director,Head of Oncology department, Principal Investigator, Clinical Professor, Xinqiao Hospital of Chongqing) — Principal investigator
First posted
Apr 28, 2020
Start date
Jan 17, 2020
Primary completion
Aug 30, 2020
Completion
Dec 31, 2021
Last update
Feb 23, 2024

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Feb 2024. You cannot join it, but the record below documents what was studied.

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion