Evidence map›Paper›PMID 36176534›Full record

Trial reportFrontiers in public health2022

A new prediction model for overall survival of elderly patients with solitary bone plasmacytoma: A population-based study.

Yingying Wu, Jiemin Wei, Shaomei Chen, Xiaozhu Liu, Junyi Cao

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Frontiers in public health, 2022. 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
0.3field-weighted citation impact, top 39% 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 3 institutions in 1 country.

Yingying WuDepartment of Blood Transfusion, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Jiemin WeiDepartment of Hematology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Shaomei ChenDepartment of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Xiaozhu LiuDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Junyi CaoDepartment of Medical Quality Control, The First People's Hospital of Zigong City, Zigong, China.
Guangxi Medical University · CNDalian Medical University · CNZigong First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Comprehensive studies on the prognosis of solitary bone plasmacytoma (SPB) are lacking, especially in elderly patients with SPB. This study aims to establish a novel nomogram and risk stratification system to predict the overall survival (OS) of elderly patients with SPB. Methods: The data of elderly patients with SPB from 2000 to 2017 were identified in the SEER database. SPB patients were randomly assigned to the training set ( Result: A total of 1,179 elderly patients with SPB were included in the study. Age at diagnosis, prior cancer before SPB, marital status, radiotherapy, and chemotherapy were independent risk factors of OS. The AUC of the 3, 5, and 8-year OS in the training and validation sets were between 0.707 and 0.860. The C-index and calibration plot also indicated that the nomogram has great predictive accuracy and robustness. After risk stratification, patients in the high-risk group had the worst OS. Conclusion: A novel nomogram was built to predict the OS of elderly patients with SPB. It will help clinicians formulate more reasonable and personalized treatment strategies.

Indexed as

PlasmacytomaAgedAge FactorsHumansPrognosisProportional Hazards ModelsSEER Programelderly patientsnomogramonline applicationoverall survivalSEERsolitary bone plasmacytoma

Identifiers

PMID36176534
PMCPMC9513445
OpenAlexW4296588759

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.