Evidence map›Paper›PMID 39624638›Full record

ArticleInfection and drug resistance2024

Construction and Validation of a Predictive Model for Mortality Risk in Patients with

Xiaojun Li, Donghao Cai, Chuangchuang Mei, Xinghui Huang

Abstract read
In one paragraph

Article in Infection and drug resistance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Observational
  4. 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

4 authors.

Xiaojun LiDepartment of Nosocomial Infection, Guangdong Provincial Second Hospital of Traditional Chinese Medicine, Guangzhou, Guangdong, 510095, People's Republic of China.ORCID 0009-0001-2858-9772
Donghao CaiDepartment of Laboratory Medicine, Guangdong Provincial Second Hospital of Traditional Chinese Medicine, Guangzhou, Guangdong, 510095, People's Republic of China.
Chuangchuang MeiDepartment of Laboratory Medicine, Guangdong Provincial Second Hospital of Traditional Chinese Medicine, Guangzhou, Guangdong, 510095, People's Republic of China.
Xinghui HuangDepartment of Quality Control, Guangdong Provincial Second Hospital of Traditional Chinese Medicine, Guangzhou, Guangdong, 510095, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To develop and validate a predictive model for the risk of death in patients with Methods: In this study, we included demographic and clinical data from 206 patients with Results: Comorbid septic shock, an elevated neutrophil/lymphocyte ratio (NLR), low hemoglobin (HGB) levels, and low platelet counts (PLT) were found to be independent risk factors for death in patients with Conclusion: Septic shock status, NLR, HGB and PLT are independent risk factors for 28-day mortality in patients with

Indexed as

Acinetobacter baumanniibloodstream infectionpredictive modelseptic shock

Identifiers

PMID39624638
PMCPMC11609411

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.