Evidence map›Paper›PMID 33517389›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2021

Comparison of an oncology clinical decision-support system's recommendations with actual treatment decisions.

Suthida Suwanvecho, Harit Suwanrusme, Tanawat Jirakulaporn, Surasit Issarachai, Nimit Taechakraichana, Palita Lungchukiet, Wimolrat Decha, Wisanu Boonpakdee, Nittaya Thanakarn, Pattanawadee Wongrattananon and 10 more

Abstract readComparative Study
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

20 authors.

Suthida SuwanvechoBumrungrad International Hospital, Khlong Toei Nuea, Bangkok, Thailand.
Harit SuwanrusmeBumrungrad International Hospital, Khlong Toei Nuea, Bangkok, Thailand.
Tanawat JirakulapornBumrungrad International Hospital, Khlong Toei Nuea, Bangkok, Thailand.
Surasit IssarachaiBumrungrad International Hospital, Khlong Toei Nuea, Bangkok, Thailand.
Nimit TaechakraichanaBumrungrad International Hospital, Khlong Toei Nuea, Bangkok, Thailand.
Palita LungchukietBumrungrad International Hospital, Khlong Toei Nuea, Bangkok, Thailand.
Wimolrat DechaBumrungrad International Hospital, Khlong Toei Nuea, Bangkok, Thailand.
Wisanu BoonpakdeeBumrungrad International Hospital, Khlong Toei Nuea, Bangkok, Thailand.
Nittaya ThanakarnBumrungrad International Hospital, Khlong Toei Nuea, Bangkok, Thailand.
Pattanawadee WongrattananonBumrungrad International Hospital, Khlong Toei Nuea, Bangkok, Thailand.
Anita M PreiningerIBM Watson Health, Cambridge, Massachusetts, USA.
Metasebya SolomonIBM Watson Health, Cambridge, Massachusetts, USA.
Suwei WangIBM Watson Health, Cambridge, Massachusetts, USA.
Rezzan HekmatIBM Watson Health, Cambridge, Massachusetts, USA.
Irene Dankwa-MullanIBM Watson Health, Cambridge, Massachusetts, USA.
Edward ShortliffeIBM Watson Health, Cambridge, Massachusetts, USA.
Vimla L PatelIBM Watson Health, Cambridge, Massachusetts, USA.
Yull ArriagaIBM Watson Health, Cambridge, Massachusetts, USA.
Gretchen Purcell JacksonIBM Watson Health, Cambridge, Massachusetts, USA.
Narongsak KiatikajornthadaBumrungrad International Hospital, Khlong Toei Nuea, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIBM(R) Watson for Oncology (WfO) is a clinical decision-support system (CDSS) that provides evidence-informed therapeutic options to cancer-treating clinicians. A panel of experienced oncologists compared CDSS treatment options to treatment decisions made by clinicians to characterize the quality of CDSS therapeutic options and decisions made in practice.

methodsThis study included patients treated between 1/2017 and 7/2018 for breast, colon, lung, and rectal cancers at Bumrungrad International Hospital (BIH), Thailand. Treatments selected by clinicians were paired with therapeutic options presented by the CDSS and coded to mask the origin of options presented. The panel rated the acceptability of each treatment in the pair by consensus, with acceptability defined as compliant with BIH's institutional practices. Descriptive statistics characterized the study population and treatment-decision evaluations by cancer type and stage.

resultsNearly 60% (187) of 313 treatment pairs for breast, lung, colon, and rectal cancers were identical or equally acceptable, with 70% (219) of WfO therapeutic options identical to, or acceptable alternatives to, BIH therapy. In 30% of cases (94), 1 or both treatment options were rated as unacceptable. Of 32 cases where both WfO and BIH options were acceptable, WfO was preferred in 18 cases and BIH in 14 cases. Colorectal cancers exhibited the highest proportion of identical or equally acceptable treatments; stage IV cancers demonstrated the lowest.

conclusionThis study demonstrates that a system designed in the US to support, rather than replace, cancer-treating clinicians provides therapeutic options which are generally consistent with recommendations from oncologists outside the US.

Indexed as

Clinical Decision-MakingDecision Support Systems, ClinicalMedical OncologyArtificial IntelligenceHumansNeoplasmsNeoplasm StagingThailandTherapy, Computer-Assistedbreast cancerclinical decision-support systemscolon cancerconcordancelung cancerrectal cancerWatson for Oncology

Identifiers

PMID33517389
PMCPMC7973455

What OpenQuestion holds

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LicenceCC BY
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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.