Evidence map›Paper›PMID 41691087›Full record

ArticleNPJ digital medicine2026

Distance-stratified sociodemographic differences in telemedicine use in surgical oncology clinics at an academic medical center.

Vijaya Parameswaran, Sean Tsung, Yan Bo Zeng, Marci Miller, Joshua Pritchett, Bart M Demaerschalk, Leah Rosengaus, Christopher Sharp, Byrne Lee, Sumit Shah

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Article in NPJ digital medicine, 2026. 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

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

10 authors.

Vijaya Parameswaran *Department of Medicine, Stanford University, Stanford, CA, USA. [email protected].
Sean Tsung *Department of Management Science and Engineering, Stanford University, Stanford, CA, USA.
Yan Bo ZengDepartment of Management Science and Engineering, Stanford University, Stanford, CA, USA.
Marci MillerDigital Health Care Integration Team, Stanford Medicine, Stanford, CA, USA.
Joshua PritchettDepartment of Oncology, Mayo Clinic College of Medicine and Science, Rochester, MN, USA.
Bart M DemaerschalkDepartment of Neurology, Mayo Clinic College of Medicine and Science, Rochester, MN, USA.
Leah RosengausDigital Health Care Integration Team, Stanford Medicine, Stanford, CA, USA.
Christopher SharpDepartment of Medicine, Stanford University, Stanford, CA, USA.
Byrne LeeDepartment of Surgery, Stanford University, Stanford, CA, USA.
Sumit ShahDivision of Oncology, Stanford University, Stanford, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We examined telemedicine use across 38,883 surgical oncology visits (2021-2023) at a Northern California cancer center. At ≥20 miles from clinics, Hispanic (OR = 0.76, 95% CI [0.68,0.85]), Asian/Pacific Islander (OR = 0.75, 95% CI [0.66,0.84]), interpreter-needing (OR = 0.67, 95% CI [0.59,0.77]), and Medicaid patients (OR = 0.85, 95% CI [0.76,0.96]) had lower telemedicine use, while low-income patients showed higher utilization (OR = 1.67, 95% CI [1.46,1.91]). At <20 miles, no differences were observed for Hispanic, interpreter-needing, Medicaid, or low-income patients, but Asian/Pacific Islanders showed higher use (OR = 1.16, 95% CI [1.04-1.30]). Geographic distance modifies telemedicine access patterns.

Identifiers

PMID41691087
PMCPMC13018300

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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.