Evidence map›Paper›PMID 28610406›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2017

Prognostic Nomogram for Advanced Hepatocellular Carcinoma Treated with FOLFOX 4

Shukui Qin, Xinji Zhang, Wei Guo, Jian Feng, Tianyi Zhang, Lichuang Men, Jia He

Abstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
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  7. TheFrontiers in oncology · 2022
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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

7 authors.

Shukui QinPeople’s Liberation Army Cancer Center, 81st Hospital of People’s Liberation Army, Nanjing, Jiangsu, China. Email: hejia63@yeah.net
Xinji Zhang
Wei Guo
Jian Feng
Tianyi Zhang
Lichuang Men
Jia He

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Oxaliplatin plus 5-Fluorouracil /Leucovorin (FOLFOX4) regimen have been approved by Chinese Food and Drug Administration (CFDA), and covered by health insurance for patients with advanced hepatocellular carcinoma (HCC) in China. However, the efficacy of FOLFOX4 for HCC patients is still under debate. In this study, we aimed to establish a nomogram to identify HCC patients who might benefit from FOLFOX4 chemotherapy base on individual profile. Methods: A total of 184 patients from the EACH study who were treated with FOLFOX4 were included in this analysis. Backward Cox proportional hazards regression combined with clinical experience was used to select variables for construction of the nomogram. The nomogram performance was assessed in terms of discrimination and calibration. The results were validated using bootstrap resampling. Results: Six variables were included in the prognostic models based on their clinical relevance: age, maximum tumor diameter, lymph node status, aspartate aminotransferase (AST), total bilirubin (TBIL) and alpha-fetoprotein (AFP). The calibration curve showed that the predicted survival probabilities closely matched the actual observations. The C-index of the model was 0.75 (95%CI: 0.71-0.80). This value was significantly superior to the one for the following staging systems: BCLC (0.67, P=0.004), CUPI (0.66, P<0.001), AJCC seventh edition (0.63, P=0.002), GRETCH (0.63, P<0.001). Conclusions: The proposed nomogram showed accurate prognostic prediction for 6-month overall survival of patients treated with FOLFOX4 and could be useful for clinicians counseling patients and making treatment decisions.

Indexed as

FOLFOX regimenhepatocellular carcinomanomogramoxaliplatinsystemic chemotherapy

Identifiers

PMID28610406
PMCPMC5555527

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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.