Evidence map›Paper›PMID 38628350›Full record

ArticleProceedings (Baylor University. Medical Center)2024

Inpatient outcomes for lung cancer patients presenting with superior vena cava thrombosis.

Jay Vakil, Ekrem Turk, Maria Cristina Cuartas-Mesa, Vaishali Deenadayalan, Kunnal Batra

Open access · greenAbstract read
In one paragraph

Article in Proceedings (Baylor University. Medical Center), 2024. 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
0.5field-weighted citation impact, top 40% 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, 1 citations in OpenAlex.

  1. Superior vena cava syndrome in lung cancer: an interesting observation.Proceedings (Baylor University. Medical Center) · 2024
    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

5 authors at 1 institution in 1 country.

Jay VakilDepartment of Medicine, Cook County Health, Chicago, IL, USA.ORCID https://orcid.org/0000-0002-1166-1897
Ekrem TurkDepartment of Medicine, Cook County Health, Chicago, IL, USA.
Maria Cristina Cuartas-MesaDepartment of Medicine, Cook County Health, Chicago, IL, USA.
Vaishali DeenadayalanDepartment of Medicine, Cook County Health, Chicago, IL, USA.
Kunnal BatraDivision of Hematology/Oncology, Cook County Health, Chicago, IL, USA.
Cook County Health and Hospitals System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A specific cause of superior vena cava (SVC) syndrome, SVC thrombosis, is a rare but known complication in cancer patients. Early identification and management of SVC thrombosis in lung cancer patients may lead to improved patient outcomes and a reduction in healthcare costs. Methods: We studied the racial and socioeconomic differences, length of stay, total hospital charges, and all-cause mortality outcomes in patients with lung cancer with and without SVC thrombosis using data from the National Inpatient Sample. Statistical analysis was performed on STATA. Results: A total of 480,750 patients were hospitalized for lung cancer; 720 (0.15%) of these patients had SVC thrombosis. The lung cancer with SVC thrombosis cohort had a statistically higher proportion of Black patients. Patients with lung cancer presenting with SVC thrombosis had an increased hospital length of stay (10 vs 6 days, Conclusion: Race, insurance type, and comorbidities impacted the likelihood of developing SVC thrombosis in patients with lung cancer. SVC thrombosis is a poor prognostic factor for patients with lung cancer. Further studies to evaluate these disparities are warranted.

Indexed as

Adverse inpatient outcomesdisparitieslung canceroncologythrombosis

Identifiers

PMID38628350
PMCPMC11018079
OpenAlexW4392378660

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.