Evidence map›Paper›PMID 30887741›Full record

ArticleKorean journal of radiology2019

Prediction of Treatment Outcome of Chemotherapy Using Perfusion Computed Tomography in Patients with Unresectable Advanced Gastric Cancer.

Dong Ho Lee, Se Hyung Kim, Sang Min Lee, Joon Koo Han

Abstract read
In one paragraph

Article in Korean journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Guideline
  2. Article
  3. Article
  4. A Systematic Review on the Role of the Perfusion Computed Tomography in Abdominal Cancer.Dose-response : a publication of International Hormesis Society
    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

4 authors.

Dong Ho LeeDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.ORCID 0000-0001-8983-851X
Se Hyung KimDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.ORCID 0000-0001-8664-0356
Sang Min LeeDepartment of Radiology, Hallym University Sacred Heart Hospital, Seoul, Korea.ORCID 0000-0001-7719-3849
Joon Koo HanDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.ORCID 0000-0001-5916-5545

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate whether data acquired from perfusion computed tomography (PCT) parameters can aid in the prediction of treatment outcome after palliative chemotherapy in patients with unresectable advanced gastric cancer (AGC). MATERIALS AND

methodsTwenty-one patients with unresectable AGCs, who underwent both PCT and palliative chemotherapy, were prospectively included. Treatment response was assessed according to Response Evaluation Criteria in Solid Tumors version 1.1 (i.e., patients who achieved complete or partial response were classified as responders). The relationship between tumor response and PCT parameters was evaluated using the Mann-Whitney test and receiver operating characteristic analysis. One-year survival was estimated using the Kaplan-Meier method.

resultsAfter chemotherapy, six patients exhibited partial response and were allocated to the responder group while the remaining 15 patients were allocated to the non-responder group. Permeability surface (PS) value was shown to be significantly different between the responder and non-responder groups (51.0 mL/100 g/min vs. 23.4 mL/100 g/min, respectively;

conclusionPerfusion parameter data acquired from PCT demonstrated predictive value for treatment outcome after palliative chemotherapy, reflected by the significantly higher PS value in the responder group compared with the non-responder group.

Indexed as

Tomography, X-Ray ComputedAdultAgedAntineoplastic AgentsArea Under CurveFemaleHumansKaplan-Meier EstimateMaleMiddle AgedReproducibility of ResultsROC CurveSensitivity and SpecificityStatistics, NonparametricStomach NeoplasmsTreatment OutcomeAntineoplastic AgentsFunctional imagingPermeabilityReproducibilityStomachSurvival

Identifiers

PMID30887741
PMCPMC6424833

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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.