Evidence map›Paper›PMID 36619404›Full record

ArticleHeliyon2022

Prediction of short-term mortality in elderly patients with sepsis using immunoglobulin G2: An observational study.

Fang Zhang, Tiantian Wan, Xin Liu, Shubin Guo

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 31% 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, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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 at 1 institution in 1 country.

Fang ZhangDepartment of Emergency Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Tiantian WanDepartment of Emergency Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Xin LiuDepartment of Emergency Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Shubin GuoDepartment of Emergency Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sepsis is a global healthcare issue and continues to cause high mortality especially in elderly patients. The humoral immune system plays an important role in protecting from microbial contamination. The goal of this study is to investigate the immune status and prognostic evaluation of elderly patients with sepsis. Methods: A single-center, prospective observational study has been conducted, with the endpoint being the 28-day mortality. Patients 65 years and older who met the diagnostic criteria of Sepsis-3 in the Emergency Department of Beijing Chao-Yang Hospital were divided into survivors and non-survivors groups. Levels of immunoglobulin (Ig) A, IgG, IgM and their subclasses as well as clinical indicators were collected upon enrollment, and the results were statistically analyzed. Results: This study finally enrolled 106 elderly patients, including 68 survivors and 38 non-survivors. Compared with survivors, IgG2 level and IgG4 level were lower in non-survivors ( Conclusion: IgG subclasses play important roles in the prognosis of elderly septic patients, with IgG2 being the main component. IgG2 was found to outperform other immunoglobulins, lactate, procalcitonin, SOFA score and APACHE II score in terms of predicting the mortality. A complete immunological evaluation is helpful to guide the prognosis and treatment of patients with age-related infection.

Indexed as

Elderly patientsImmunoglobulinPredictorSepsis

Identifiers

PMID36619404
PMCPMC9816988
OpenAlexW4313367932

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.