Evidence map›Paper›PMID 39156945›Full record

ArticleJournal of cancer & allied specialties2024

Using Telemedicine to Care for Patients with Breast Cancer: A Natural Quasi-Experimental Study.

Khawaja Shehryar Nasir, Farhana Badar, Muhammad Aasim Yusuf

Abstract read
In one paragraph

Article in Journal of cancer & allied specialties, 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

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.

Khawaja Shehryar NasirDepartment of Internal Medicine, Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, Pakistan.
Farhana BadarDepartment of Cancer Registry and Clinical Data Management, Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, Pakistan.
Muhammad Aasim YusufDepartment of Internal Medicine, Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This investigation assessed the clinical characteristics of patients who received care through telemedicine and the clinical impact telemedicine service had on breast cancer patients in a low-income country. Materials and Methods: This natural experimental study assessed the impact of telemedicine service on cancer outcomes among breast cancer patients at Shaukat Khanum Memorial Trust (SKMT), Pakistan, between January 1st, 2018, to December 31st, 2022. The study group (hybrid group) consisted of patients that had both face-to-face and telemedicine appointments, and the control group (physical group) included patients with only face-to-face encounters. Results: A total of 3,205 patients were included in the analysis. Among those included in the analysis, 3,188 (99.5 %) were females, and the mean age of the cohort was 48.10 ± 11.94 years. Statistically significant differences were observed between the two groups in age, demographic distribution, disease stage, average number of emergency room visits, mean length of stay in the Intensive care unit, and the final patient status (alive at the end of observation period). However, the binary logistic regression model (forward-LR) suggested that the final patient outcome was related to disease relapse, COVID-19 infection, and age. Conclusion: Telemedicine clinics, when conducted in parallel with physical clinics (hybrid setup), are safe and have a clinical impact similar to having just physical encounters among breast cancer patients in a low-income country.

Indexed as

Breast cancerlow-middle income countries (LMIC)oncologytelehealthtelemedicine

Identifiers

PMID39156945
PMCPMC11326662

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.