Evidence map›Paper›PMID 33159560›Full record

ArticleLung2020

A Multidisciplinary Lung Cancer Program: Does It Reduce Delay Between Diagnosis and Treatment?

Denise Albano, Thomas Bilfinger, Melissa Feraca, Stephen Kuperberg, Barbara Nemesure

Abstract read
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In one paragraph

Article in Lung, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
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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

5 authors at 1 institution in 1 country.

Denise AlbanoDepartment of Surgery, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA.
Thomas BilfingerDepartment of Surgery, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA.
Melissa FeracaDepartment of Medicine, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA.
Stephen KuperbergDepartment of Medicine, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA.
Barbara NemesureDepartment of Family, Population and Preventive Medicine, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA. barbara.nemesure@stonybrookmedicine.edu.ORCID http://orcid.org/0000-0003-4278-9540
Stony Brook School · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLung cancer is the leading cause of cancer death in the USA, claiming more than 140,000 deaths annually. Delays in diagnosis and treatment can lead to missed opportunities for both curative and life prolonging therapies. This study aimed to evaluate duration of time to diagnosis and first treatment, as well as investigate reasons for delays in care.

methodsThis retrospective study included all lung cancer cases diagnosed by Stony Brook's Lung Cancer Evaluation Center (LCEC) between 2013 and 2019. Demographic, radiologic, pathologic and clinical variables were investigated, including cancer staging, histology, and medical and family histories. Evaluations included the determination of median time from initial encounter to diagnosis, median time from diagnosis to start of treatment and an exploration of the factors that influence possible causes for delays in care.

resultsThe LCEC's comprehensive multidisciplinary lung nodule program yielded a median length of time from CT to PET of 11 days, PET to procedure of 13 days, procedure to treatment consult of 9 days, and from consult to treatment of 9 days. LCEC patients experienced an overall median of 44 days from initial presentation to first treatment compared to the national ideal of 62 days, thereby representing a 29% reduction in time from first CT to onset of treatment.

conclusionDelays in lung cancer diagnosis and treatment can negatively impact patient morbidity and mortality. This study suggests that a coordinated multidisciplinary lung cancer program may reduce delays in care, thereby improving patient outcomes.

Indexed as

Time-to-TreatmentAgedCarcinomaDelayed DiagnosisFemaleHumansLung NeoplasmsMaleMiddle AgedNeoplasm StagingPositron-Emission TomographyReferral and ConsultationRetrospective StudiesTime FactorsTomography, X-Ray ComputedBarriers to careDelay in careDiagnosisLung cancerMultidisciplinary care

Identifiers

PMID33159560
OpenAlexW3041863377

What OpenQuestion holds

Textmetadata
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.