Evidence map›Paper›PMID 37541963›Full record

ArticleDiscover oncology2023

Prognostic value of the combined preoperative plasma fibrinogen and systemic inflammatory indexes in ESCC patients.

Honggang Cao, Hongtai Shi, Miaomiao Zhao, Zhenhua Liu, Jun Qian

Open access · goldAbstract read
In one paragraph

Article in Discover oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 5 institutions in 1 country.

Honggang Cao *Department of Oncology, The Sixth Affiliated Hospital of Nantong University, Yancheng Third People's Hospital, 75 Juchang Street, Yancheng, 224005, China.
Hongtai Shi *Department of Radiation Oncology, The Sixth Affiliated Hospital of Nantong University, Yancheng Third People's Hospital, 75 Juchang Street, Yancheng, 224005, China.
Miaomiao ZhaoDepartment of Ultrasound, The Yancheng Clinical College of Xuzhou Medical University, The First People's Hospital of Yancheng, 66 Renmin Road, Yancheng, 224005, China.
Zhenhua LiuDepartment of Radiotherapy, The Yancheng Clinical College of Xuzhou Medical University, The First People's Hospital of Yancheng, 66 Renmin Road, Yancheng, 224005, China. 20194132242@stu.suda.edu.cn.
Jun QianDepartment of Thoracic Surgery, The Yancheng Clinical College of Xuzhou Medical University, The First People's Hospital of Yancheng, 66 Renmin Road, Yancheng, 224005, China. 791131938@qq.com.
Affiliated Hospital of Nantong University · CNNantong University · CNXuzhou Medical College · CNYancheng First People's Hospital · CNYancheng Third People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prognostic indexes based on the combination of preoperative fibrinogen and systemic inflammatory indexes may have greater predictive value in esophageal squamous cell carcinoma (ESCC). It was found that the predictive ability of F-NLR was more valuable than other systemic inflammatory indexes. The preoperative F-NLR score was closely related to the TNM stage, and could be used as an important independent prognostic index for patients with ESCC. Then the nomogram model constructed by F-NLR and TNM stage had higher prognostic ability than that of AJCC stage for ESCC patients. Preoperative F-NLR is a new independent prognostic index and a potential marker for treatment response monitoring in patients with ESCC.

Indexed as

ESCCFibrinogenF-NLRNLRPrognosis

Identifiers

PMID37541963
PMCPMC10403484
OpenAlexW4385576512

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.