Evidence map›Paper›PMID 35726570›Full record

ArticleThe Journal of international medical research2022

Construction and validation of a novel prognostic nomogram for patients with metastatic renal cell carcinoma: a SEER-based study.

Zhaoxiang Lu, Wei He, Jun Zhou, Cheng Yang, Rong Xiang

Open access · goldAbstract read
In one paragraph

Article in The Journal of international medical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Zhaoxiang LuDepartment of Urology, The Chao Hu Hospital of Anhui Medical University, Hefei, China.ORCID https://orcid.org/0000-0002-7820-579X
Wei HeDepartment of Urology, The Chao Hu Hospital of Anhui Medical University, Hefei, China.
Jun ZhouDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Cheng YangDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Rong XiangSchool of Electronic Engineering, Chao Hu University, Chaohu, China.
Anhui Medical University · CNChaohu Hospital of Anhui Medical University · CNChaohu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe aimed to establish and validate nomograms to evaluate overall survival (OS) and cancer-specific survival (CSS) in patients with metastatic renal cell carcinoma (MRCC).

methodsBetween 2010 and 2015, the clinical information of patients with MRCC was selected using the Surveillance, Epidemiology, and End Results database. Two nomograms were constructed based on Cox regression analysis, and their prediction accuracy was evaluated by concordance index (C-index), receiver operating characteristic (ROC) curve, and decision curve analysis (DCA).

resultsAfter propensity score matching, there were 568 patients with MRCC in the training group and 568 in the validation group. Multivariate analyses revealed that age, residence, pathology, T stage, N stage, surgery, and metastatic sites were independent prognostic factors for the OS and CSS of MRCC. The C-index and ROC curves indicated that the two nomograms of OS and CSS showed satisfactory discriminative power. Furthermore, DCA displayed that the nomograms achieved more clinical net benefit than the American Joint Committee on Cancer staging system.

conclusionWe constructed and validated two effective prognostic nomograms for patients with MRCC that accurately predicted the probabilities of 1-, 2-, and 3-year OS and CSS.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsHumansNeoplasm StagingNomogramsPrognosisSEER Programmetastatic renal cell carcinomaNomogramprediction modelprognosisrenal cell carcinomasurvival

Identifiers

PMID35726570
PMCPMC9218494
OpenAlexW4283269509

What OpenQuestion holds

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Registered trials

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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.