Evidence map›Paper›PMID 29084828›Full record

Trial reportGut2018

Comparison of early radiological predictors of outcome in patients with colorectal cancer with unresectable hepatic metastases treated with bevacizumab.

Thibault Mazard, Piyaporn Boonsirikamchai, Michael J Overman, Mohamed A Asran, Haesun Choi, Delise Herron, Cathy Eng, Dipen M Maru, Marc Ychou, Jean-Nicolas Vauthey and 2 more

Abstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in Gut, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. 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.

Thibault Mazard *Department of Digestive Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Piyaporn Boonsirikamchai *Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Michael J OvermanDepartment of Digestive Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Mohamed A AsranDepartment of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Haesun ChoiDepartment of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Delise HerronDepartment of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Cathy EngDepartment of Digestive Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Dipen M MaruDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Marc YchouDepartment of Oncology, ICM-Vald'Aurelle Cancer Center, Montpellier, France.
Jean-Nicolas VautheyDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Evelyne M Loyer *Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Scott Kopetz *Department of Digestive Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

objectiveThe purpose was to validate the prognostic value of an early optimal morphological response on CT in patients treated with bevacizumab-containing chemotherapy for unresectable colorectal cancer liver metastases (CLM). It also evaluated the prognostic value of size-based criteria and the association of optimal morphological response with the receipt of bevacizumab.

design141 patients treated first using bevacizumab and 142 patients from a randomised study evaluating the addition of bevacizumab to oxaliplatin-based chemotherapy were retrospectively analysed. Radiologists evaluated pretreatment and restaging CT scans using morphological response criteria. Responses were also assessed with size-based criteria: Response Evaluation Criteria in Solid Tumors (RECIST), early tumour shrinkage (ETS) and deepness of response (DpR). The ability of each criterion to predict progression-free survival (PFS), overall survival (OS) and postprogression survival (PPS) was determined using a univariate Cox proportional hazards model.

resultsIn both populations, median PFS was significantly longer for patients achieving an optimal morphological response (10.4 vs 6.8 months, p=0.03; and 8.3 vs 4.9 months, p<00001, respectively). Neither RECIST nor ETS responses were associated with a prolonged PFS. Median OS was longer for those with an optimal morphological response but only at second restaging in the first population (n=141, 20.8 vs 12.3 months, p=0.002). DpR but not optimal morphological response was associated with PPS. In the randomised study, an optimal morphological response was 6.2 times more likely among patients receiving bevacizumab (p<0.0001).

conclusionIn patients with unresectable CLM, early morphological response may be a better predictor of PFS than size-based response. The addition of bevacizumab improves morphological response rate.

Indexed as

AdultAgedAged, 80 and overAntineoplastic Agents, ImmunologicalAntineoplastic Combined Chemotherapy ProtocolsBevacizumabColorectal NeoplasmsFemaleHumansLiver NeoplasmsMaleMiddle AgedPrognosisRetrospective StudiesSurvival RateTomography, X-Ray ComputedAntineoplastic Agents, ImmunologicalBevacizumabcolorectal cancerimagingliver metastases

Identifiers

PMID29084828
PMCPMC10109500

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.