Evidence map›Paper›PMID 33907395›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2021

A Frailty Assessment Tool to Predict In-Hospital Mortality in Patients with Acute Exacerbations of Chronic Obstructive Pulmonary Disease.

Jin-Jin Gu, Qiang Liu, Li-Jie Zheng

Abstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
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  12. Is Frailty Diagnosis Important in Patients with COPD? A Narrative Review of the Literature.International journal of environmental research and public health · 2023
    Review
  13. Observational
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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

3 authors.

Jin-Jin GuDepartment of Geriatrics, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, 212002, People's Republic of China.ORCID 0000-0002-4161-2762
Qiang LiuDepartment of Laboratory Medicine, The Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, People's Republic of China.ORCID 0000-0003-2108-121X
Li-Jie ZhengDepartment of Laboratory Medicine,The Affiliated People's Hospital of Jiangsu University, Zhejiang, 212002, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The exacerbation of chronic obstructive pulmonary disease (AECOPD) is a chronic, frequent, and life-threatening lung disease. In 2014, a frailty index (FI) based on deficits in commonly used laboratory tests (FI-Lab) was suggested to identify older adults at increased risk of death. Objective: We aim to study the prognostic value of the FI-Lab in older Chinese patients who were admitted because of AECOPD. Methods: We screened 1932 older patients hospitalized with AECOPD from September 2016 to June 2019 at Zhenjiang First People's Hospital, China. A multivariate logistic regression analysis was used to identify prognostic factors for in-hospital mortality. Results: A total of 77 survivors and 77 non-survivors were finally included in the study. Both the mean DECAF (including dyspnea, eosinopenia, consolidation, acidemia, and atrial fibrillation) score and the mean FI-Lab value of non-survivors were statistically higher than those of survivors (4.45 ± 0.80 versus 3.03 ± 0.90, Conclusion: FI-Lab is a simple, efficient, and objective tool to stratify the risk of in-hospital mortality of AECOPD.

Indexed as

FrailtyPulmonary Disease, Chronic ObstructiveAgedChinaDisease ProgressionHospital MortalityHumansPrognosisSeverity of Illness IndexAECOPDDECAFFI-Labfrailty indexprognosis

Identifiers

PMID33907395
PMCPMC8068494

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Registered trials

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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.