Evidence map›Paper›PMID 29511850›Full record

ReviewCurrent oncology reports2018

Using Information Technology in the Assessment and Monitoring of Geriatric Oncology Patients.

Kah Poh Loh, Colin McHugh, Supriya G Mohile, Karen Mustian, Marie Flannery, Heidi Klepin, Rebecca Schnall, Eva Culakova, Erika Ramsdale

Abstract readReview
In one paragraph

Review in Current oncology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Trial
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  3. Differential effects of an electronic symptom monitoring intervention based on the age of patients with advanced cancer.Annals of oncology : official journal of the European Society for Medical Oncology · 2020
    Trial
  4. Trial
  5. Recommendations from the Geriatric Oncology Working Group of the Spanish Society of Radiation Oncology for the treatment of elderly patients with radiotherapy.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Achieving sequential therapy in advanced gastric cancer: the importance of appropriate patient management for the elderly and/or those with ascites.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2020
    Review
  15. Review
  16. Article
  17. Article
  18. Review
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

9 authors.

Kah Poh LohJames P Wilmot Cancer Institute, University of Rochester School of Medicine and Dentistry, 601 Elmwood Avenue, Box 704, Rochester, NY, 14642, USA. kahpoh_loh@urmc.rochester.edu.
Colin McHughJames P Wilmot Cancer Institute, University of Rochester School of Medicine and Dentistry, 601 Elmwood Avenue, Box 704, Rochester, NY, 14642, USA.
Supriya G MohileJames P Wilmot Cancer Institute, University of Rochester School of Medicine and Dentistry, 601 Elmwood Avenue, Box 704, Rochester, NY, 14642, USA.
Karen MustianJames P Wilmot Cancer Institute, University of Rochester School of Medicine and Dentistry, 601 Elmwood Avenue, Box 704, Rochester, NY, 14642, USA.
Marie FlanneryJames P Wilmot Cancer Institute, University of Rochester School of Medicine and Dentistry, 601 Elmwood Avenue, Box 704, Rochester, NY, 14642, USA.
Heidi KlepinWake Forest Baptist Health, Winston-Salem, NC, USA.
Rebecca SchnallColumbia University School of Nursing, New York, NY, USA.
Eva CulakovaJames P Wilmot Cancer Institute, University of Rochester School of Medicine and Dentistry, 601 Elmwood Avenue, Box 704, Rochester, NY, 14642, USA.
Erika RamsdaleJames P Wilmot Cancer Institute, University of Rochester School of Medicine and Dentistry, 601 Elmwood Avenue, Box 704, Rochester, NY, 14642, USA.

Funding

URCC NCORP Research BaseUG1CA189961 · NCI · UNIVERSITY OF ROCHESTER · PI Michelle C Janelsins, KAREN M. MUSTIAN · 2014 to 2026
$67.7M
Cancer Control Research Training Curriculum (R25T)R25CA102618 · NCI · UNIVERSITY OF ROCHESTER · PI JANELSINS, MICHELLE C, MORROW, GARY R · 2004 to 2018
$6.7M
Reducing Chemotherapy Toxicity in Older AdultsR01CA177592 · NCI · UNIVERSITY OF ROCHESTER · PI MOHILE, SUPRIYA G. · 2013 to 2018
$3.0M
NCI NIH HHS R01 CA177592NCI NIH HHS R25 CA102618NCI NIH HHS UG1 CA189961
6 · The paper itself

Abstract

purpose of reviewOlder adults with cancer have complex medical needs and often experience higher rates of treatment-related toxicities compared to their younger counterparts. The advent of health information technologies can address multiple gaps in the care of this population. We review the role of existing and emerging technologies in facilitating the use of comprehensive geriatric assessment (CGA) in routine clinics, promoting symptom reporting, and monitoring medication adherence. RECENT

findingsIncreasingly, studies demonstrate the feasibility of implementing electronic CGA in routine oncology practices. Evidence also suggests that electronic symptom reporting can improve outcomes in patients with cancer. In addition, technology devices can be used to promote adherence to cancer therapy. There are many opportunities for information technology to be integrated into the management and treatment of older adults with cancer. However, further evaluation of these technologies is needed to ensure that they meet the needs of the targeted end users.

Indexed as

AgedGeriatric AssessmentHumansInformation TechnologyMedical OncologyNeoplasmsGeriatric assessmentInformation technologyMedication adherenceSymptom monitoring

Identifiers

PMID29511850
PMCPMC5878089

What OpenQuestion holds

Textmetadata
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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.