Evidence map›Paper›PMID 29851794›Full record

ArticleMedicine2018

The relationship between body mass index changes during chemotherapy and prognosis of patients with advanced colorectal cancer: A retrospective cohort study.

Zhao Cong, Delin Wang, Yujuan Cao

Abstract readEvaluation Study
In one paragraph

Article in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. 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

3 authors.

Zhao CongDepartment of Oncology, Peking University Shougang Hosipital, Beijing, China.
Delin Wang
Yujuan Cao

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the relationships between body mass index change (ΔBMI) and prognoses and clinical effects of patients with advanced colorectal cancer (CRC).From January 2008 to December 2012, 224patients with stage IV CRC were diagnosed in our hospital, and their clinical and pathological data were collected for this retrospective study. These patients were divided into lowΔ BMI group (ΔBMI ≤-0.45 kg/m) and high ΔBMI (ΔBMI >-0.45 kg/m) group.After 2 cycles of chemotherapy, there were no significant differences between prediagnosis BMI, ΔBMI, and clinical effects (P = .196; P = .59).There was also no significant difference in median progression-free survival of the high ΔBMI and low ΔBMI groups (P = .530). The overall survival (OS) time of the high ΔBMI group was significantly longer than that of the low ΔBMI group (P = .002). Family history (P = .041), eastern cooperative oncology group performance status (ECOG PS) score (P = .001), ΔBMI (P = .023), and carcinoembryonic antigen, (P = 0.02) were independent predictive factors of OS rates in patients with CRC. The relative risk was 0.72-fold for patients with CRC patients with high ΔBMI levels, relative to those with lower ΔBMI levels.Our results demonstrate that ΔBMI decreases predict poor prognoses for patients with advanced CRC, and elevated ΔBMI was a predictive factor for high survival rate. Thus, ΔBMI appears to be an independent predictive factor of CRC survival rates.

Indexed as

Body Mass IndexWeight GainWeight LossAgedAntineoplastic AgentsCarcinoembryonic AntigenColorectal NeoplasmsDisease-Free SurvivalDisease ProgressionFemaleHumansMaleMiddle AgedPrognosisProportional Hazards ModelsRetrospective StudiesAntineoplastic AgentsCarcinoembryonic Antigen

Identifiers

PMID29851794
PMCPMC6392521

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.