Evidence map›Paper›PMID 29228679›Full record

ArticleOncotarget2017

Prognostic value of the C-reactive protein/Albumin Ratio (CAR) in patients with operable soft tissue sarcoma.

Yao Liang, Wei Xiao, Yuan-Xiang Guan, Wei Wang, Huo Ying Chen, Cheng Fang, Xing Zhang, Zhi-Wei Zhou

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 4 pooled it
1.6field-weighted citation impact, top 14% of its field
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

19 citing papers in PubMed, 4 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Prognostic value of neutrophil-to-lymphocyte ratio and other inflammatory markers in patients with high-risk soft tissue sarcomas.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2020
    Observational
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

8 authors at 3 institutions in 1 country.

Yao LiangSun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, People's Republic of China.
Wei XiaoSun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, People's Republic of China.
Yuan-Xiang GuanSun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, People's Republic of China.
Wei WangSun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, People's Republic of China.
Huo Ying ChenSun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, People's Republic of China.
Cheng FangSun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, People's Republic of China.
Xing ZhangSun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, People's Republic of China.
Zhi-Wei ZhouSun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, People's Republic of China.
Sun Yat-sen University · CNState Key Laboratory of Oncology in South ChinaSun Yat-sen University Cancer Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe preoperative C-reactive protein/Albumin ratio (CAR) is valuable for predicting the prognosis of patients with various types of cancers. The aim of the present study is to investigate the prognostic value of the preoperative CAR and compare it with other systemic inflammatory response markers in patients with soft tissue sarcoma (STS).

methodsThis retrospective study included 206 patients with STS. The optimal cutoff value of the CAR was determined by receiver operating characteristic (ROC) analysis. The impact of the CAR and other clinicopathological features on overall survival (OS) and disease-free survival (DFS) was evaluated using univariate and multivariate Cox regression analyses. Kaplan-Meier survival analyses were used to compare groups classified by the CAR. Additionally, the area under the receiver operating characteristic curve (AUC) was used to compare the predictive ability of the CAR, high-sensitivity modified Glasgow prognostic score (Hs-mGPS), neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR).

resultsThe optimal cut-off value of the CAR was 0.1035 according to the ROC analysis. An increased CAR (≥0.1035) was significantly associated with older age, larger tumor size, deep tumor location, higher tumor grade and more advanced American Joint Committee on Cancer (AJCC) stage (all P<0.05). Patients with an elevated CAR (≥0.1035) exhibited a shorter median survival time and lower 5-year OS rate than those with a CAR<0.1035 (68.2 vs 115.8 months, P = 0.000; 44.6% vs 80.9%, P = 0.000, respectively). The results of a multivariate analysis indicated that the CAR (Hazard ratio (HR) 2.47, 95% confidence interval (CI) 1.47-4.14, P = 0.001) was an independent prognostic factor for OS along with tumor grade (P<0.05). Additionally, the CAR exhibited a greater AUC value (0.662) than the NLR and PLR, but the value was equal to the Hs-mGPS.

conclusionsThe preoperative CAR is an independent prognostic factor predicting prognosis in STS and exhibits superior prognostic ability compared to the established inflammation-based prognostic indices.

Indexed as

albuminC-reactive proteininflammation-based prognostic factorsprognosissoft tissue sarcoma

Identifiers

PMID29228679
PMCPMC5716719
OpenAlexW2754782555

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.