Evidence map›Paper›PMID 30959468›Full record

SynthesisJournal of the National Comprehensive Cancer Network : JNCCN2019

A Systematic Review of Clinical Decision Support Systems for Clinical Oncology Practice.

Pamala A Pawloski, Gabriel A Brooks, Matthew E Nielsen, Barbara A Olson-Bullis

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of the National Comprehensive Cancer Network : JNCCN, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 5 pooled it
–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

61 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  6. A pragmatic, single-arm clinical trial of a dose modification algorithm for preventing cytopenia-related delays during FOLFOX chemotherapy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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1 more citing papers are in PubMed but not listed here.

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

4 authors.

Pamala A PawloskiaHealthPartners Institute, Minneapolis, Minnesota.
Gabriel A BrookscDartmouth-Hitchcock Medical Center, Lebanon, New Hampshire; and.
Matthew E NielsendUniversity of North Carolina School of Medicine, Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina.
Barbara A Olson-BullisaHealthPartners Institute, Minneapolis, Minnesota.

Funding

CRN4: Cancer Research Resources & Collaboration in Integrated Health Care SystemsU24CA171524 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI KUSHI, LAWRENCE H · 2012 to 2016
$16.0M
NCI NIH HHS U24 CA171524
6 · The paper itself

Abstract

backgroundElectronic health records are central to cancer care delivery. Electronic clinical decision support (CDS) systems can potentially improve cancer care quality and safety. However, little is known regarding the use of CDS systems in clinical oncology and their impact on patient outcomes.

methodsA systematic review of peer-reviewed studies was performed to evaluate clinically relevant outcomes related to the use of CDS tools for the diagnosis, treatment, and supportive care of patients with cancer. Peer-reviewed studies published from 1995 through 2016 were included if they assessed clinical outcomes, patient-reported outcomes (PROs), costs, or care delivery process measures.

resultsElectronic database searches yielded 2,439 potentially eligible papers, with 24 studies included after final review. Most studies used an uncontrolled, pre-post intervention design. A total of 23 studies reported improvement in key study outcomes with use of oncology CDS systems, and 12 studies assessing the systems for computerized chemotherapy order entry demonstrated reductions in prescribing error rates, medication-related safety events, and workflow interruptions. The remaining studies examined oncology clinical pathways, guideline adherence, systems for collection and communication of PROs, and prescriber alerts.

conclusionsThere is a paucity of data evaluating clinically relevant outcomes of CDS system implementation in oncology care. Currently available data suggest that these systems can have a positive impact on the quality of cancer care delivery. However, there is a critical need to rigorously evaluate CDS systems in oncology to better understand how they can be implemented to improve patient outcomes.

Indexed as

Decision Support Systems, ClinicalHumansMedical Oncology

Identifiers

PMID30959468
PMCPMC6563614

What OpenQuestion holds

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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.