Evidence map›Paper›PMID 38162321›Full record

ArticleInfection and drug resistance2023

Establishment and Validation of a Risk Prediction Model for Mortality in Patients with

Haiyan Song, Hui Zhang, Ding Zhang, Bo Liu, Pengcheng Wang, Yanyan Liu, Jiabin Li, Ying Ye

Open access · goldAbstract read
In one paragraph

Article in Infection and drug resistance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 47% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Longitudinal genomic insights into resistance and virulence dynamics of Klebsiella pneumoniae clinical isolates from Pakistan.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026
    Article
  2. 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

8 authors at 3 institutions in 1 country.

Haiyan SongDepartment of Infectious Disease, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, People's Republic of China.
Hui ZhangDepartment of Infectious Disease, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, People's Republic of China.
Ding ZhangDepartment of Infectious Disease, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, People's Republic of China.ORCID 0009-0008-6181-8953
Bo LiuDepartment of Infectious Disease, the 901st Hospital, Hefei, Anhui, People's Republic of China.
Pengcheng WangDepartment of Clinical Laboratory, the 901st Hospital, 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.ORCID 0000-0002-5224-773X
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.
Anhui Medical University · CNHefei Infectious Disease Hospital · CNThird People's Hospital of Hefei · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aims to establish a valuable risk prediction model for mortality in patients with Patients and Methods: The 622 patients with Results: Our results revealed that the source of infection, carbapenem-resistant Conclusion: In this study, we have reconstructed a risk prediction model for mortality in patients with

Indexed as

A. baumanniicarbapenem resistanceprediction modelrisk factors

Identifiers

PMID38162321
PMCPMC10757776
OpenAlexW4390245568

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.