Evidence map›Paper›PMID 36836122›Full record

ArticleJournal of clinical medicine2023

Are Predictors for Overall Mortality in COPD Patients Robust over Time?

Noriane A Sievi, Jerome Sepin, Maurice Roeder, Thomas Brack, Martin H Brutsche, Martin Frey, Sarosh Irani, Jörg D Leuppi, Robert Thurnheer, Christian F Clarenbach and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

11 authors at 7 institutions in 1 country.

Noriane A SieviDepartment of Pulmonology, University Hospital Zurich, 8091 Zurich, Switzerland.ORCID 0000-0003-1758-4586
Jerome SepinDepartment of Biostatistics, University of Zurich, 8006 Zurich, Switzerland.ORCID 0000-0002-8893-8903
Maurice RoederDepartment of Pulmonology, University Hospital Zurich, 8091 Zurich, Switzerland.ORCID 0000-0002-4261-0881
Thomas BrackPulmonary Division, Cantonal Hospital of Glarus, 8750 Glarus, Switzerland.
Martin H BrutschePulmonary Division, Cantonal Hospital of St. Gallen, 9000 St. Gallen, Switzerland.ORCID 0000-0002-1612-3609
Martin FreyPulmonary Division, Clinic Barmelweid, 5017 Barmelweid, Switzerland.ORCID 0000-0002-6683-2892
Sarosh IraniPulmonary Division, Cantonal Hospital of Aarau, 5001 Aarau, Switzerland.
Jörg D LeuppiUniversity Clinic of Internal Medicine, Cantonal Hospital Baselland, University of Basel, 4410 Basel, Switzerland.ORCID 0000-0002-5554-0675
Robert ThurnheerPulmonary Division, Cantonal Hospital of Münsterlingen, 8596 Münsterlingen, Switzerland.ORCID 0000-0002-8851-2830
Christian F ClarenbachDepartment of Pulmonology, University Hospital Zurich, 8091 Zurich, Switzerland.ORCID 0000-0003-2158-2321
Malcolm KohlerDepartment of Pulmonology, University Hospital Zurich, 8091 Zurich, Switzerland.
University Hospital of Zurich · CHKantonsspital Aarau · CHKantonsspital Münsterlingen · CHKlinik Barmelweid · CHUniversity of Basel · CHUniversity of St.Gallen · CHUniversity of Zurich · CH

Funding

Freiwillige Akademische Gesellschaft Basel n/aGottfried and Julia Bangerter-Rhyner foundation n/aLunge Zurich n/aLung league of both Basel n/aLung league of Canton Aargau n/aLung league of Canton Glarus n/aLung league of Canton St. Gallen n/aLung league of Canton Thurgau n/a
6 · The paper itself

Abstract

(1) Background: Mortality is a major outcome in research on chronic obstructive pulmonary disease (COPD) with various predictors described. However, the dynamic courses of important predictors over time are disregarded. This study evaluates if longitudinal assessment of predictors provides additional information on the mortality risk in COPD when compared with a cross-sectional analysis.; (2) In a longitudinal, prospective, non-interventional cohort study including mild to very severe COPD patients, mortality and its various possible predictors were annually assessed up to seven years.; (3) Results: 297 patients were analysed. Mean (SD) age was 62.5 (7.6) years and 66% males. Mean (SD) FEV1 was 48.8 (21.4)%. A total of 105 events (35.4%) happened with a median (95% CI) survival time of 8.2 (7.2/NA) years. No evidence for a difference between the raw variable and the variable history on the predictive value for all tested variables over each visit was found. There was no evidence for changing effect estimates (coefficients) across the study visits due to the longitudinal assessment; (4) Conclusions: We found no evidence that predictors of mortality in COPD are time dependent. This implies that cross-sectional measured predictors show robust effect estimates over time and multiple assessments seem not to change the predictive value of the measure.

Indexed as

COPDlongitudinalmortalitypredictors

Identifiers

PMID36836122
PMCPMC9961228
OpenAlexW4321248195

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.