Evidence map›Paper›PMID 36576652›Full record

ArticleApplied biochemistry and biotechnology2023

An Increase in Admission RDW Value Is Associated with Excess Short-Term Mortality Rates in Patients with Severe Burns.

Honghao Lai, Zhuhong Cai, Shengyong Wu, Wei Zhang, Jiali Chen, Guosheng Wu

Abstract read
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In one paragraph

Article in Applied biochemistry and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Review
  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

6 authors at 4 institutions in 1 country.

Honghao Lai *Department of Burn, Changhai Hospital, Naval Medical University, Shanghai, 200433, China.
Zhuhong Cai *Department of Ultrasonography, Changhai Hospital, Naval Medical University, Shanghai, 200433, China.
Shengyong Wu *Department of Military Health Statistics, Naval Medical University, Shanghai, 200433, China.
Wei ZhangDepartment of Burn, Changhai Hospital, Naval Medical University, Shanghai, 200433, China.
Jiali ChenDepartment of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, 510280, China.
Guosheng WuDepartment of Burn, Changhai Hospital, Naval Medical University, Shanghai, 200433, China. 18019359841@163.com.
Second Military Medical University · CNChanghai Hospital · CNSouthern Medical University · CNZhujiang Hospital · CN

Funding

foundation of Shanghai hospital development center SHDC2020CR4100
6 · The paper itself

Abstract

The predictive value of red blood cell distribution width (RDW) in severely burned patients remains unclear. This study aimed to investigate the potential association between admission RDW and outcomes in patients with severe burns. Data of severely burned patients in the burn center of Changhai Hospital were retrospectively evaluated. The relationship between admission RDW and mortality was analyzed and displayed using the receiver operating characteristic curve, Kaplan-Meier curve, Cox proportional hazards regression, and the nomogram method. A total of 342 patients were identified according to the filter criteria. The 30-day mortality was 12.9%, and the mortality rates in 7 days and 90 days were 2.9% and 16.7%, respectively. Patients with high admission RDW value were more likely to die than those with low RDW value. Multivariate analysis revealed that higher admission RDW, age, full-thickness burned area, and inhalation injury were independent risk factors with 30-day mortality. The nomogram based on these risk factors was established to predict survival probability in severe burn patients. The C-index of different follow-up times was computed between 0.867 and 0.904, and the nomogram model list fits the data well. Admission RDW played a valuable role in predicting short-term mortality in patients with severe burns. The nomogram containing admission RDW was established to predict mortality, which helps burn care providers identify the patients at higher risk of short-term mortality after severe burns. More attention should be paid to the application of these easy and inexpensive biochemical indicators in the early prediction of disease progression.

Indexed as

Erythrocyte IndicesHumansPrognosisRetrospective StudiesRisk FactorsROC CurveMortalityNomogramRed blood cell distribution width (RDW)Severe burns

Identifiers

PMID36576652
OpenAlexW4313236869

What OpenQuestion holds

Textmetadata
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.