Evidence map›Paper›PMID 38659939›Full record

ArticleResearch square2024

Optimizing Inpatient Care for Lung Cancer Patients with Immune Checkpoint Inhibitor- Related Pneumonitis Using a Clinical Care Pathway Algorithm.

Norman Brito-Dellan, Maria Cecilia Franco-Vega, Juan Ignacio Ruiz, Maggie Lu, Hadeel Sahar, Pramuditha Rajapakse, Heather Y Lin, Christine Peterson, Daniel Leal Alviarez, Haider Altay and 2 more

Abstract readPreprint
In one paragraph

Article in Research square, 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
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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Norman Brito-DellanThe University of Texas MD Anderson Cancer Center.
Maria Cecilia Franco-VegaThe University of Texas MD Anderson Cancer Center.
Juan Ignacio RuizThe University of Texas MD Anderson Cancer Center.
Maggie LuThe University of Texas MD Anderson Cancer Center.
Hadeel SaharThe University of Texas MD Anderson Cancer Center.
Pramuditha RajapakseUniversity of Massachusetts Chan Medical School.
Heather Y LinThe University of Texas MD Anderson Cancer Center.
Christine PetersonThe University of Texas MD Anderson Cancer Center.
Daniel Leal AlviarezThe University of Texas MD Anderson Cancer Center.
Haider AltayThe University of Texas MD Anderson Cancer Center.
Sophy TomyThe University of Texas MD Anderson Cancer Center.
Joanna-Grace Mayo ManzanoThe University of Texas MD Anderson Cancer Center.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

Purpose: Immune checkpoint inhibitor-related pneumonitis (ICI-P) is a condition associated with high mortality, necessitating prompt recognition and treatment initiation. This study aimed to assess the impact of implementing a clinical care pathway algorithm on reducing the time to treatment for ICI-P. Methods: Patients with lung cancer and suspected ICI-P were enrolled, and a multi-modal intervention promoting algorithm use was implemented in two phases. Pre- and post-intervention analyses were conducted to evaluate the primary outcome of time from ICI-P diagnosis to treatment initiation. Results: Of the 82 patients admitted with suspected ICI-P, 73.17% were confirmed to have ICI-P, predominantly associated with non-small cell lung cancer (91.67%) and stage IV disease (95%). Pembrolizumab was the most commonly used immune checkpoint inhibitor (55%). The mean times to treatment were 2.37 days in the pre-intervention phase and, 3.07 days ( Conclusion: Implementing a clinical care pathway algorithm for ICI-P management standardizes care practices and enhances patient outcomes, underscoring the importance of structured approaches.

Indexed as

clinical care pathway algorithmImmune checkpoint inhibitor-related pneumonitisonco-hospitalist

Identifiers

PMID38659939
PMCPMC11042393

What OpenQuestion holds

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LicenceCC BY
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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.