Evidence map›Paper›PMID 27073681›Full record

ArticleMolecular and clinical oncology2016

Association of pretreatment serum carcinoembryonic antigen levels with chemoradiation-induced downstaging and downsizing of rectal cancer.

Seung-Gu Yeo

Abstract read
In one paragraph

Article in Molecular and clinical oncology, 2016. 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.

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3 · Its place in the literature

Who cites it

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

  1. 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

1 author.

Seung-Gu YeoDepartment of Radiation Oncology, Soonchunhyang University College of Medicine, Soonchunhyang University Hospital, Cheonan 31151, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to identify pretreatment clinical parameters associated with preoperative chemoradiotherapy (CRT)-induced downstaging and downsizing of locally advanced rectal cancer (LARC T3-4 or N+). Data from 51 LARC patients, who received preoperative CRT and radical surgery between 2010 and 2013, were retrospectively analyzed. Rectal adenocarcinoma was histologically confirmed in all patients, who ranged in age between 41 and 81 years (median, 64 years). CRT consisted of 50.4 Gy pelvic radiotherapy with concurrent chemotherapy using 5-fluorouracil and leucovorin. After a median interval of 7 weeks post-CRT, the patients underwent total mesorectal excision. Downstaging was defined as the transition from cStage II-III to ypStage 0-I. The longest tumor diameter was measured pre- and post-CRT using computed tomography or magnetic resonance imaging, and based on the surgical specimen, respectively. Downstaging was observed in 16 (31.4%) patients, including 5 (9.8%) with a pathological complete response. The median downsizing rate was 60%. The serum carcinoembryonic antigen (CEA) levels were 0.8-153.9 ng/ml (median, 4.4 ng/ml). The maximum standardized uptake value was 4.7-33.9 (median, 10.8). On univariate analysis, cT stage, tumor size and CEA level were associated with downstaging. On multivariate analysis, only CEA level (≤5 ng/ml) was a significant predictor of downstaging (odds ratio = 16.0; 95% confidence interval: 1.8-146.7; P=0.014). CEA level was the only factor significantly associated with downsizing (>60%) in the univariate analysis. These results demonstrated that pretreatment serum CEA levels are significantly associated with downstaging as well as downsizing of LARC following preoperative CRT. Therefore, this parameter may be useful in personalizing the management of LARC patients.

Indexed as

carcinoembryonic antigenchemoradiotherapydownsizingdownstagingrectal cancer

Identifiers

PMID27073681
PMCPMC4812551

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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.