Evidence mapPaperPMID 38596202Full record

Observational studyInternational journal of chronic obstructive pulmonary disease2024

Can the ADO Index Be Used as a Predictor of Mortality from COVID-19 in Patients with COPD?

Esra Ertan Yazar, Gulsah Gunluoglu, Burcu Arpinar Yigitbas, Mukadder Calikoglu, Gazi Gulbas, Nilgün Yılmaz Demirci, Nurhan Sarioglu, Fulsen Bozkus, Nevin Taci Hoca, Nalan Ogan and 6 more

Open access · goldAbstract readObservational StudyMulticenter Study
In one paragraph

Observational study in International journal of chronic obstructive pulmonary disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact, top 92% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

16 authors at 10 institutions in 1 country.

Esra Ertan YazarDepartment of Chest Diseases, Istanbul Medeniyet University, Medical Faculty, Istanbul, Turkey.ORCID 0000-0002-6081-3463
Gulsah GunluogluDepartment of Chest Diseases, Yedikule Chest Disease and Chest Surgery Research and Training Hospital, Istanbul, Turkey.
Burcu Arpinar YigitbasDepartment of Chest Diseases, Istanbul Medeniyet University, Medical Faculty, Istanbul, Turkey.ORCID 0000-0003-1367-5253
Mukadder CalikogluDepartment of Chest Diseases, Mersin University, Medical Faculty, Mersin, Turkey.
Gazi GulbasDepartment of Chest Diseases, Inonu University, Medical Faculty, Malatya, Turkey.
Nilgün Yılmaz DemirciDepartment of Chest Diseases, Gazi University, Medical Faculty, Ankara, Turkey.
Nurhan SariogluDepartment of Chest Diseases, Balikesir University, Medical Faculty, Balikesir, Turkey.ORCID 0000-0002-5180-9649
Fulsen BozkusDepartment of Chest Diseases, Kahramanmaras Sutcu Imam University, Medical Faculty, Kahramanmaras, Turkey.
Nevin Taci HocaDepartment of Chest Diseases, Gazi University, Medical Faculty, Ankara, Turkey.ORCID 0000-0002-6803-4181
Nalan OganDepartment of Chest Diseases, Ufuk University, Medical Faculty, Ankara, Turkey.ORCID 0000-0001-5232-3803
Seda Tural OnurDepartment of Chest Diseases, Yedikule Chest Disease and Chest Surgery Research and Training Hospital, Istanbul, Turkey.ORCID 0000-0002-0657-0392
Muzaffer Onur TuranDepartment of Chest Diseases, Prof Dr, Izmir Katip Celebi University, Atatürk Research and Training Hospital, Izmir, Turkey.ORCID 0000-0001-6320-0470
Filiz KosarDepartment of Chest Diseases, Yedikule Chest Disease and Chest Surgery Research and Training Hospital, Istanbul, Turkey.
Evrim Eylem AkpinarDepartment of Chest Diseases, Ufuk University, Medical Faculty, Ankara, Turkey.
Burak MeteDepartment of Public Health Çukurova University, Medical Faculty, Adana, Turkey.ORCID 0000-0002-0780-6176
Can OzturkDepartment of Chest Diseases, Gazi University, Medical Faculty, Ankara, Turkey.ORCID 0000-0002-9204-3838
Gazi University · TRYedikule Teaching Hospital · TRIstanbul Medeniyet University · TRUfuk University · TRBalıkesir University · TRCukurova University · TRInonu University · TRIzmir Kâtip Çelebi University · TRKahramanmaraş Sütçü İmam University · TRMersin Üniversitesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Several studies have shown that the risk of mortality due to COVID-19 is high in patients with COPD. However, evidence on factors predicting mortality is limited. Research Question: Are there any useful markers to predict mortality in COVID-19 patients with COPD?. Study Design and Methods: A total of 689 patients were included in this study from the COPET study, a national multicenter observational study investigating COPD phenotypes consisting of patients who were followed up with a spirometry-confirmed COPD diagnosis. Patients were also retrospectively examined in terms of COVID-19 and their outcomes. Results: Among the study patients, 105 were diagnosed with PCR-positive COVID-19, and 19 of them died. Body mass index (p= 0.01) and ADO (age, dyspnoea, airflow obstruction) index (p= 0.01) were higher, whereas predicted FEV Interpretation: Our study suggested that the ADO index recorded in the stable period in patients with COPD makes a modest contribution to the prediction of mortality due to COVID-19. Further studies are needed to validate the use of the ADO index in estimating mortality in both COVID-19 and other viral respiratory infections in patients with COPD.

Indexed as

COVID-19Pulmonary Disease, Chronic ObstructiveHumansPrognosisRetrospective StudiesRisk AssessmentSeverity of Illness Indexbody mass indexchronic obstructiveCOVID-19eosinophilsFEV1mortalitypneumoniapulmonary disease

Identifiers

PMID38596202
PMCPMC11001538
OpenAlexW4393943332

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 Socratic graph.