Evidence map›Paper›PMID 37342104›Full record

ArticleLaryngoscope investigative otolaryngology2023

The impact of distance traveled and rurality on the clinical course of head and neck cancer.

Nadia Debick, Amanda Gemmiti, Jesse Ryan

Abstract read
In one paragraph

Article in Laryngoscope investigative otolaryngology, 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
–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

2 citing papers in PubMed.

  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

3 authors.

Nadia DebickNorton College of Medicine SUNY Upstate Medical University Syracuse New York USA.
Amanda GemmitiDepartment of Otolaryngology and Communication Sciences SUNY Upstate Medical University Syracuse New York USA.
Jesse RyanDepartment of Otolaryngology and Communication Sciences SUNY Upstate Medical University Syracuse New York USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the relationship between distance traveled and rurality to clinical timepoints and 2-year disease free survival (DFS) in newly diagnosed HNC patients. Methods: This study was conducted through retrospective analysis, with key independent variables including distance to academic medical center and rurality score. To better understand delays in care, the sample was divided into two groups based on an optimal treatment timeline. We then assessed for the impact of distance traveled. Results: A higher proportion of patients in the optimal treatment timeline group resided in metropolitan areas, which also had a lower mean index of medically underserviced score. Patients in this group had a shorter duration from first presentation for HNC to presentation to an academic medical center and a shorter duration from referral to presentation. However, there was no significant difference in 2-year DFS between the groups. Those who lived closest to Upstate were more likely to identify as Black. Those who live in suburban communities around Upstate were most likely to initiate treatment within 1 month of presentation. Those who live farthest from Upstate were the least likely to have an HPV-negative cancer of the head and neck, and more likely to receive surgery as part of treatment and to receive a biopsy prior to presenting to Upstate. Conclusions: Despite differences in distance traveled and rurality between communities, there was no impact on 2-year DFS. Together, we suggest that these findings support that socioeconomic and patient factors, instead of travel distance alone, impact HNC workup patterns. Level of Evidence: Level III.

Indexed as

head and neck cancerruralitytravel

Identifiers

PMID37342104
PMCPMC10278113

What OpenQuestion holds

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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.