Evidence map›Paper›PMID 35317643›Full record

ArticleThe Journal of international medical research2022

Development and external validation of a nomogram for predicting renal function based on preoperative data from in-hospital patients with simple renal cysts.

Yiding Chen, Lei Chen, Jialin Meng, Meng Zhang, Yuchen Xu, Song Fan, Chaozhao Liang, Guiyi Liao

Open access · goldAbstract read
PubMed Full text at PMC Publisher
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 40% 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, 1 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

8 authors at 1 institution in 1 country.

Yiding ChenDepartment of Urology, 36639First Affiliated Hospital of Anhui Medical University, The First Affiliated Hospital of Anhui Medical University, Institute of Urology, Anhui Medical University, Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Anhui, China.ORCID https://orcid.org/0000-0002-0658-0945
Lei ChenDepartment of Urology, 36639First Affiliated Hospital of Anhui Medical University, The First Affiliated Hospital of Anhui Medical University, Institute of Urology, Anhui Medical University, Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Anhui, China.ORCID https://orcid.org/0000-0001-6893-2603
Jialin MengDepartment of Urology, 36639First Affiliated Hospital of Anhui Medical University, The First Affiliated Hospital of Anhui Medical University, Institute of Urology, Anhui Medical University, Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Anhui, China.
Meng ZhangDepartment of Urology, 36639First Affiliated Hospital of Anhui Medical University, The First Affiliated Hospital of Anhui Medical University, Institute of Urology, Anhui Medical University, Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Anhui, China.
Yuchen XuDepartment of Urology, 36639First Affiliated Hospital of Anhui Medical University, The First Affiliated Hospital of Anhui Medical University, Institute of Urology, Anhui Medical University, Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Anhui, China.
Song FanDepartment of Urology, 36639First Affiliated Hospital of Anhui Medical University, The First Affiliated Hospital of Anhui Medical University, Institute of Urology, Anhui Medical University, Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Anhui, China.
Chaozhao LiangDepartment of Urology, 36639First Affiliated Hospital of Anhui Medical University, The First Affiliated Hospital of Anhui Medical University, Institute of Urology, Anhui Medical University, Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Anhui, China.
Guiyi LiaoDepartment of Urology, 36639First Affiliated Hospital of Anhui Medical University, The First Affiliated Hospital of Anhui Medical University, Institute of Urology, Anhui Medical University, Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Anhui, China.
Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop and validate a nomogram for predicting renal dysfunction in patients with simple renal cysts (SRCs).

methodsWe performed a multivariable logistic regression analysis of an in-hospital retrospective cohort of patients with SRCs in the Urology Department of the First Affiliated Hospital of Anhui Medical University. For prognostic model development, 386 patients with SRCs were enrolled from January 2016 to December 2018. External validation was performed in 46 patients with SRCs from January 2019 to April 2019. The primary outcome was renal dysfunction.

resultsPatients were divided into normal or abnormal estimated glomerular filtration rate groups (293 vs. 93) based on the cut-off value of 90 mL/minute/1.73 m

conclusionsWe established a nomogram to predict the probability of developing renal dysfunction in patients with SRCs.

Indexed as

Kidney Diseases, CysticNomogramsHospitalsHumansKidneyRetrospective Studiesestimated glomerular filtration ratein-hospital patientkidney diseasenomogramRenal dysfunctionsimple renal cyst

Identifiers

PMID35317643
PMCPMC8949791
OpenAlexW4220823428

What OpenQuestion holds

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LicenceCC BY-NC
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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.