Evidence map›Paper›PMID 41689671›Full record

ArticleBreast cancer research and treatment2026

Remote symptom monitoring with clinical alerts following lumpectomy: do alerts predict 30-day re-operation or re-admission rates?

Jennifer Wang, Solange Bayard, Melissa Assel, Minji Kim, Tracy-Ann Moo, Andrew J Vickers, Sigrid V Carlsson, Babak Mehrara, Monica Morrow, Jonas A Nelson and 1 more

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Article in Breast cancer research and treatment, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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5 · Who and what money

Authors and funding

11 authors.

Jennifer Wang *Breast Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, 300 East 66th Stree, New York, NY, 10065, USA.
Solange Bayard *Plastic and Reconstructive Surgery Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, USA.
Melissa AsselDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Minji KimBreast Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, 300 East 66th Stree, New York, NY, 10065, USA.
Tracy-Ann MooPlastic and Reconstructive Surgery Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, USA.
Andrew J VickersDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Sigrid V CarlssonDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Babak MehraraBreast Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, 300 East 66th Stree, New York, NY, 10065, USA.
Monica MorrowPlastic and Reconstructive Surgery Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, USA.
Jonas A NelsonBreast Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, 300 East 66th Stree, New York, NY, 10065, USA.
Audree B TadrosPlastic and Reconstructive Surgery Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, USA. tadrosa@mskcc.org.ORCID http://orcid.org/0000-0003-3588-251X

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
NIH/NCI Cancer Center Support Grant to Memorial Sloan Kettering Cancer Center P30CA008748
6 · The paper itself

Abstract

purposeElectronic patient-reported outcomes (ePROs) are used postoperatively to detect complications through real-time symptom monitoring. This study examines whether alerts triggered through the "Recovery Tracker" (RT), an ePRO system, predict 30-day re-admission or re-operation after lumpectomy.

methodsWe retrospectively reviewed breast cancer patients who underwent lumpectomy at a single institution between August 2018 and May 2024. Patients who completed RT surveys on postoperative days 1-5 were included. Symptom alerts categorized as red (urgent) and yellow (less urgent) were analyzed using generalized additive and univariable logistic regression models.

resultsAmong 8723 included patients, 2552 (29%) triggered at least one alert. Yellow alerts were more common than red across all days. Most red alerts were related to pain or vomiting; most yellow alerts were related to pain or wound redness. Overall, symptom severity and interference decreased over time. Triggering an alert was associated with increased risk of 30-day re-admission or re-operation (odds ratio [OR] 2.86, 95% confidence interval [CI] 1.64-5.03; p < 0.001). However, absolute event rates were low (re-admission 0.3%, re-operation 0.2%), and the absolute risk increase associated with any alert was minimal (0.7%, 95% CI 0.2%-1.1%).

conclusionAlthough triggering at least one ePRO alert is associated with an increased relative risk for re-admission or re-operation, the absolute risk increase of re-admission and re-operation is very small. With enhanced follow-up by the clinical team among patients who trigger an alert, patients can be reassured that most symptoms will resolve on their own or can be treated with outpatient intervention.

Indexed as

Breast NeoplasmsMastectomy, SegmentalPatient ReadmissionPostoperative ComplicationsReoperationAdultAgedFemaleHumansMiddle AgedPatient Reported Outcome MeasuresRemote Patient MonitoringRetrospective StudiesBreast cancerLumpectomyPatient-reported outcomesRemote symptom monitoring

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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.