Evidence map›Paper›PMID 34031106›Full record

ArticleBMJ open respiratory research2021

Survival models to support shared decision-making about advance care planning for people with advanced stage cystic fibrosis.

Negin Hajizadeh, Meng Zhang, Meredith Akerman, Nina Kohn, Anna Mathew, Denis Hadjiliadis, Janice Wang, Martin L Lesser

Open access · goldAbstract read
In one paragraph

Article in BMJ open respiratory research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

8 authors at 3 institutions in 2 countries.

Negin HajizadehDivision of Pulmonary Critical Care and Sleep Medicine, Department of Medicine, Northwell Health, Manhasset, New York, USA nhajizadeh@northwell.edu.ORCID 0000-0002-6404-1018
Meng ZhangFeinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA.
Meredith AkermanBiostatistics, Northwell Health Feinstein Institutes for Medical Research, Manhasset, New York, USA.
Nina KohnBiostatistics, Northwell Health Feinstein Institutes for Medical Research, Manhasset, New York, USA.
Anna MathewDivision of Nephrology, Department of Medicine, McMaster University, Hamilton, Ontario, Canada.
Denis HadjiliadisDivision of Pulmonary, Allergy, and Critical Care, University of Pennsylvania Hospital, Philadelphia, Pennsylvania, USA.
Janice WangDivision of Pulmonary Critical Care and Sleep Medicine, Department of Medicine, Northwell Health, Manhasset, New York, USA.
Martin L LesserFeinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA.
Northwell Health · USHospital of the University of Pennsylvania · USMcMaster University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFor people with advanced stage cystic fibrosis (CF), tailored survival estimates could facilitate preparation for decision-making in the event of acutely deteriorating respiratory function.

methodsWe used the US CF Foundation national database (2008-2013) to identify adult people with incident advanced stage CF (forced expiratory volume in 1 s (FEV1) ≤45% predicted). Using the lasso method for variable selection, we divided the dataset into training and validation samples (2:1), and developed two multivariable Cox proportional hazards models to calculate probabilities of survival from baseline (T0 model), and from 1 year after (T12 model). We also performed Kaplan-Meier survival analyses.

results4752 people were included. For the T0 model, FEV1; insurance; non-invasive ventilation; supplemental oxygen;

conclusionWe have developed models predicting survival in people with incident advanced stage CF, which can be reapplied over time to support shared decision-making about end-of-life treatment choices and lung transplantation. These estimates must be updated as data become available regarding long-term outcomes for people treated with CF transmembrane conductance regulator modulators.

Indexed as

Advance Care PlanningCystic FibrosisLung TransplantationForced Expiratory VolumeHumansLungcystic fibrosislung transplantation

Identifiers

PMID34031106
PMCPMC8149438
OpenAlexW3165840647

What OpenQuestion holds

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LicenceCC BY-NC
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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.