Evidence map›Paper›PMID 34321583›Full record

Trial reportScientific reports2021

Preference criteria for regorafenib in treating refractory metastatic colorectal cancer are the small tumor burden, slow growth and poor/scanty spread.

Hung-Chih Hsu, Kuo-Cheng Huang, Wei-Shone Chen, Jeng-Kai Jiang, Shung-Haur Yang, Huann-Sheng Wang, Shih-Ching Chang, Yuan-Tzu Lan, Chun-Chi Lin, Hung-Hsin Lin and 6 more

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03829852 (Investigate the Real-life Treatment Outcome of Regorafenib in Treating mCRC Patients), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

NCT03829852 completednot on this map

Investigate the Real-life Treatment Outcome of Regorafenib in Treating mCRC Patients

TypeobservationalSponsorTaipei Veterans General Hospital, TaiwanRan2019 to 2020Enrolled716ConditionsMetastatic Colorectal CancerArmsRegorafenib
3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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

16 authors.

Hung-Chih HsuDivision of Hematology-Oncology, Chang Gung Memorial Hospital at Linkou, Tao-Yuan City, Taiwan.
Kuo-Cheng HuangDepartment of Hematology and Medical Oncology, Koo Foundation Sun Yat-Sen Cancer Center, Taipei, Taiwan.
Wei-Shone ChenSchool of Medicine, National Yang-Ming University, Taipei, 112, Taiwan.
Jeng-Kai JiangSchool of Medicine, National Yang-Ming University, Taipei, 112, Taiwan.
Shung-Haur YangSchool of Medicine, National Yang-Ming University, Taipei, 112, Taiwan.
Huann-Sheng WangSchool of Medicine, National Yang-Ming University, Taipei, 112, Taiwan.
Shih-Ching ChangSchool of Medicine, National Yang-Ming University, Taipei, 112, Taiwan.
Yuan-Tzu LanSchool of Medicine, National Yang-Ming University, Taipei, 112, Taiwan.
Chun-Chi LinSchool of Medicine, National Yang-Ming University, Taipei, 112, Taiwan.
Hung-Hsin LinSchool of Medicine, National Yang-Ming University, Taipei, 112, Taiwan.
Sheng-Chieh HuangSchool of Medicine, National Yang-Ming University, Taipei, 112, Taiwan.
Hou-Hsuan ChengSchool of Medicine, National Yang-Ming University, Taipei, 112, Taiwan.
Tsai-Sheng YangDivision of Hematology-Oncology, Chang Gung Memorial Hospital at Linkou, Tao-Yuan City, Taiwan.
Chien-Chih ChenDepartment of Surgery, Koo Foundation Sun Yat-Sen Cancer Center, Taipei, Taiwan.
Yee ChaoSchool of Medicine, National Yang-Ming University, Taipei, 112, Taiwan.
Hao-Wei TengSchool of Medicine, National Yang-Ming University, Taipei, 112, Taiwan. hwteng1971@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the unclear preference criteria for regorafenib in treating refractory metastatic colorectal cancer (mCRC), this study aimed to construct an algorithm in selecting right patients for regorafenib. This was a multicenter retrospective cohort study. Patients with pathology confirmed mCRC and administered with regorafenib for > 3 weeks were enrolled. Patients with good response were defined to have progression-free survival (PFS) of ≥ 4 months. The Kaplan-Meier plot was used to analyze survival. A Cox proportional hazards model was used to analyze univariate and multivariate prognostic factors and was visualized using forest plot. A clustering heatmap was used to classify patients according to responses. The decision tree and nomogram were used to construct the approaching algorithm. A total of 613 patients was analyzed. The median PFS and overall survival (OS) were 2.7 and 10.6 months, respectively. The partial response and stable disease rate are 2.4% and 36.4%. The interval between metastasis (M1) and regorafenib, metastatic status (number, liver, and brain), and CEA level were independent prognostics factors of PFS that classifies patients into three groups: good, bad and modest-1/modest-2 group with PFS >  = 4 months rates of 51%, 20%, 39% and 30%, respectively. Results were used to develop the decision tree and nomogram for approaching patients indicated with regorafenib. The preference criteria for regorafenib in treating patients with refractory mCRC are small tumor burden (CEA), slow growth (interval between metastasis and regorafenib) and poor/scanty spread (metastatic status: number and sites of metastasis): The 3S rules.TRIAL registration ClinicalTrials.gov Identifier: NCT03829852; Date of first registration (February 11, 2019).

Indexed as

AdultAgedCell ProliferationColorectal NeoplasmsFemaleHumansKaplan-Meier EstimateMaleMiddle AgedNeoplasm MetastasisPhenylurea CompoundsProgression-Free SurvivalProportional Hazards ModelsPyridinesTumor BurdenPhenylurea CompoundsPyridinesregorafenib

Identifiers

PMID34321583
PMCPMC8319410

What OpenQuestion holds

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Registered trials

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.