Evidence map›Paper›PMID 32099350›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2020

CODEXS: A New Multidimensional Index to Better Predict Frequent COPD Exacerbators with Inclusion of Depression Score.

Dingding Deng, Aiyuan Zhou, Ping Chen, Qingcui Shuang

Open access · goldAbstract readValidation Study
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Observational
  5. Article
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  8. Article
  9. Insights into Chronic Obstructive Pulmonary Disease as Critical Risk Factor for Cardiovascular Disease.International journal of chronic obstructive pulmonary disease · 2020
    Review
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.

Dingding Deng *Department of Respiratory Medicine, First Affiliated People's Hospital of Shaoyang College, Shaoyang, Hunan 422001, People's Republic of China.
Aiyuan Zhou *Department of Respiratory and Critical Medicine, Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, People's Republic of China.
Ping ChenDepartment of Respiratory and Critical Medicine, Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, People's Republic of China.
Qingcui ShuangDepartment of Respiratory Medicine, First Affiliated People's Hospital of Shaoyang College, Shaoyang, Hunan 422001, People's Republic of China.
Second Xiangya Hospital of Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Depression is reported in association with chronic obstructive pulmonary disease (COPD). However, to date, no multidimensional indices have taken depression into consideration to predict COPD patients' prognosis. This study aimed to determine whether a new multidimensional index named CODEXS, based on comorbidities, airflow obstruction, dyspnea, previous exacerbation and depression assessed by Self-Rating Depression Scale (SDS), could predict 1-year exacerbations. Methods: This was a prospective study, patients with stable COPD were used to develop CODEXS at the first visit, and followed up in the 3rd, 6th, and 12th months. After the last visit, patients were divided into frequent and infrequent exacerbators. Another cohort of COPD patients was used for validation. The SDS scoring system in the multidimensional indices ranged from 0 to 4 based on the modified SDS value, representing no depression (25-39 [0], 40-49 [1]), mild depression (50-59), moderate depression (60-69), and severe depression (≥70). Comorbidity, dyspnea, airflow obstruction, and severe exacerbations were calculated according to CODEX thresholds. Results: Two sets of 105 and 107 patients were recruited in the development and validation cohorts, respectively. Depression was demonstrated as an independent risk factor for frequent exacerbators (odds ratio (OR)= 1.14, 95% confidence interval (CI) = 1.06-1.23, Conclusion: Depression is an independent risk factor for COPD exacerbation. CODEXS is a useful predictor for predicting frequent exacerbators within 1 year and is superior to other previously published indices.

Indexed as

AffectHealth Status IndicatorsAgedChinaComorbidityDepressionDisease ProgressionFemaleHumansLungMaleMiddle AgedPredictive Value of TestsPrevalencePrognosisProspective StudiesCODEXSCOPDdepressionexacerbationSelf-Rating Depression Scale

Identifiers

PMID32099350
PMCPMC7006851
OpenAlexW3004408375

What OpenQuestion holds

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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.