Evidence map›Paper›PMID 31332611›Full record

ArticleInternational journal of clinical oncology2019

Comparison of computed tomography imaging analyses for evaluation after chemotherapy in patients with colorectal cancer: a retrospective pooled analysis of six phase II clinical trials.

Kosuke Hirose, Eiji Oki, Takayuki Shimose, Sanae Sakamoto, Shun Sasaki, Tomoko Jogo, Qingjiang Hu, Yasuo Tsuda, Koji Ando, Yuichiro Nakashima and 2 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in International journal of clinical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. Article
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

12 authors.

Kosuke HiroseDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka, 812-0054, Fukuoka, Japan.
Eiji OkiDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka, 812-0054, Fukuoka, Japan. okieiji@surg2.med.kyushu-u.ac.jp.ORCID http://orcid.org/0000-0002-9763-9366
Takayuki ShimoseClinical Research Support Center Kyushu (CReS Kyushu), 3-1-1, Maidashi, Higashi-ku, Fukuoka, 812-0054, Fukuoka, Japan.
Sanae SakamotoKyushu Study Group of Clinical Cancer (KSCC), 3-1-1, Maidashi, Higashi-ku, Fukuoka, 812-0054, Fukuoka, Japan.
Shun SasakiDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka, 812-0054, Fukuoka, Japan.
Tomoko JogoDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka, 812-0054, Fukuoka, Japan.
Qingjiang HuDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka, 812-0054, Fukuoka, Japan.
Yasuo TsudaDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka, 812-0054, Fukuoka, Japan.
Koji AndoDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka, 812-0054, Fukuoka, Japan.
Yuichiro NakashimaDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka, 812-0054, Fukuoka, Japan.
Hiroshi SaekiDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka, 812-0054, Fukuoka, Japan.
Masaki MoriDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka, 812-0054, Fukuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are several methods for analyzing computed tomography (CT) images to evaluate chemotherapy efficacy in clinical studies. However, the optimal analysis method for each drug is still under debate. We conducted a pooled analysis using data from six phase II studies to evaluate four analysis methods in colorectal cancers (CRCs): morphological responses (MRs), early tumor shrinkage (ETS), depth of response (DpR), and response evaluation criteria in solid tumors (RECIST) ver.1.1.

methodsWe included 249 patients in this analysis. Pretreatments and findings of subsequent CT imaging were analyzed based on the MR, ETS, DpR, and RECIST ver.1.1. Differences in overall survival (OS) between the responders and non-responders according to each method were evaluated using survival analysis.

resultsThe responders had significantly better hazard ratios (HRs) for OS, in terms of DpR (≥ median), ETS, objective response rate (ORR) [complete response (CR) + partial response (PR)], and disease control rate [CR + PR + stable disease (SD)]. Patients with right-sided colon cancers showed better HRs for DpR, but not for ETS and ORR. Contrastingly, patients with left-sided CRCs had better HRs for ETS, DpR, and ORR. MR was not associated with outcomes in this study, even in cases where bevacizumab was used. In patients with liver metastasis, ETS, DpR, and ORR showed better HRs, but not in those with lung metastasis.

conclusionEarly tumor shrinkage and DpR might be predictive markers only in left-sided CRCs with liver metastasis. Each imaging analysis has a different value based on the primary and metastatic sites.

Indexed as

AdultAgedBevacizumabClinical Trials, Phase II as TopicColonic NeoplasmsColorectal NeoplasmsFemaleHumansLiver NeoplasmsMaleMiddle AgedMulticenter Studies as TopicSurvival AnalysisTomography, X-Ray ComputedBevacizumabClinical trialColorectal cancerDeepness of responseEarly tumor shrinkageMorphologic responsePrimary location

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Registered trials

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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.