Evidence map›Paper›PMID 33681245›Full record

ArticleFrontiers in medicine2021

CANPT Score: A Tool to Predict Severe COVID-19 on Admission.

Yuanyuan Chen, Xiaolin Zhou, Huadong Yan, Huihong Huang, Shengjun Li, Zicheng Jiang, Jun Zhao, Zhongji Meng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 20% of its field
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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Association Between theFrontiers in medicine · 2022
    Article
  8. General Severity of Illness Scoring Systems and COVID-19 Mortality Predictions: Is "Old Still Gold?"Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Review
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

8 authors at 4 institutions in 1 country.

Yuanyuan ChenDepartment of Infectious Diseases, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
Xiaolin ZhouDepartment of Liver Diseases, Yichang Central People's Hospital, China Three Gorges University, Yichang, China.
Huadong YanDepartment of Liver Diseases, HwaMei Hospital, University of Chinese Academy of Sciences, Ningbo, China.
Huihong HuangDepartment of Infectious Diseases, Ankang Central Hospital, Hubei University of Medicine, Ankang, China.
Shengjun LiDepartment of Infectious Diseases, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
Zicheng JiangDepartment of Infectious Diseases, Ankang Central Hospital, Hubei University of Medicine, Ankang, China.
Jun ZhaoDepartment of Infectious Diseases, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
Zhongji MengDepartment of Infectious Diseases, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
Hubei University of Medicine · CNAnkang City Central Hospital · CNUniversity of Chinese Academy of Sciences · CNYichang Central People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

COVID-19nomogrampredictionSARS-CoV-2severe illness

Identifiers

PMID33681245
PMCPMC7930838
OpenAlexW3131440746

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.