Evidence map›Paper›PMID 32848426›Full record

ArticleInfection and drug resistance2020

Development and Validation of a Model for Predicting the Risk of Death in Patients with

Hui Zhang, Yayun Zhao, Yahong Zheng, Qinxiang Kong, Na Lv, Yanyan Liu, Dongmei Zhao, Jiabin Li, Ying Ye

Abstract read
In one paragraph

Article in Infection and drug resistance, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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. Article
  2. Nomogram for predicting 90-day mortality in patients withThe Journal of international medical research · 2023
    Article
  3. Article
  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

9 authors.

Hui ZhangDepartment of Infectious Disease, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, People's Republic of China.
Yayun ZhaoDepartment of Infectious Disease, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, People's Republic of China.
Yahong ZhengDepartment of Infectious Disease, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, People's Republic of China.
Qinxiang KongDepartment of Infectious Disease, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, People's Republic of China.
Na LvDepartment of Infectious Disease, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, People's Republic of China.
Yanyan LiuDepartment of Infectious Disease, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, People's Republic of China.
Dongmei ZhaoDepartment of Infectious Disease, The Fourth Affiliated Hospital of Anhui Medical University, Hefei, Anhui, People's Republic of China.
Jiabin LiDepartment of Infectious Disease, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, People's Republic of China.
Ying YeDepartment of Infectious Disease, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to develop and validate a personalized prediction model of death risk in patients with PATIENTS AND

methodsThe development group is comprised of 350 patients with

resultsThe infectious source, carbapenem-resistant

conclusionThe proposed model helped predict the risk of death from

Indexed as

Acinetobacter baumanniicarbapenem resistanceprediction modelrisk factors

Identifiers

PMID32848426
PMCPMC7428379

What OpenQuestion holds

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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.