Evidence map›Paper›PMID 34924760›Full record

ArticleOncoTargets and therapy2021

High Red Cell Distribution Width Independently Predicts Adverse Survival in Patients with Newly Diagnosed Skull Base Chordoma.

Mingxuan Li, Yutao Shen, Yujia Xiong, Jiwei Bai, Shuai Wang, Chuzhong Li, Yazhuo Zhang

Abstract read
In one paragraph

Article in OncoTargets and therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Mingxuan Li *Beijing Neurosurgical Institute, Capital Medical University, Beijing, People's Republic of China.
Yutao Shen *Beijing Neurosurgical Institute, Capital Medical University, Beijing, People's Republic of China.
Yujia Xiong *Beijing Neurosurgical Institute, Capital Medical University, Beijing, People's Republic of China.
Jiwei BaiDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.
Shuai WangBeijing Neurosurgical Institute, Capital Medical University, Beijing, People's Republic of China.
Chuzhong LiBeijing Neurosurgical Institute, Capital Medical University, Beijing, People's Republic of China.
Yazhuo ZhangBeijing Neurosurgical Institute, Capital Medical University, Beijing, People's Republic of China.ORCID 0000-0002-8583-2580

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAccumulating studies report that levels of mean corpuscular volume (MCV) and red cell distribution width (RDW) are associated with outcomes in cancer patients, while studies including MCV and RDW in chordoma are lacking so far. Therefore, our study aims to investigate the prognostic impact of MCV and RDW on survival in skull base chordoma patients.

methodsLevels of preoperative MCV and RDW in 187 primary skull base chordoma patients were collected. X-tile software was used to find the cutoff values of MCV and RDW. Progression-free survival (PFS) and overall survival (OS) analyses were performed using the Kaplan-Meier methods, Cox analysis, and nomogram model.

resultsLow MCV level (MCV <84.2) was more commonly observed in classical chordoma patients (

conclusionOur data was first to reveal the prognostic role of RDW in skull base chordoma, and identified the use of RDW may contribute to a more accurate prognosis judgment and personalized treatment decision.

Indexed as

biomarkermean corpuscular volumered cell distribution widthskull base chordomasurvival analysis

Identifiers

PMID34924760
PMCPMC8674674

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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.