Evidence map›Paper›PMID 37226135›Full record

ArticleBMC geriatrics2023

A back propagation neural network approach to estimate the glomerular filtration rate in an older population.

Shimin Jiang, Yetong Li, Yuanyuan Jiao, Danyang Zhang, Ying Wang, Wenge Li

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2023. 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
1.4field-weighted citation impact, top 20% 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, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. 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

6 authors at 4 institutions in 1 country.

Shimin JiangDepartment of Nephrology, China-Japan Friendship Hospital, No. 2 East Yinghuayuan Street, Chaoyang District, Beijing, 100029, China.
Yetong LiDepartment of Nephrology, Beijing Children's Hospital, National Center for Children's Health, Capital Medical University, Beijing, 100045, China.
Yuanyuan JiaoGraduate School of Peking Union Medical College, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China.
Danyang ZhangGraduate School of Peking Union Medical College, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China.
Ying WangGraduate School of Peking Union Medical College, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China.
Wenge LiDepartment of Nephrology, China-Japan Friendship Hospital, No. 2 East Yinghuayuan Street, Chaoyang District, Beijing, 100029, China. wenge_lee2002@126.com.
China-Japan Friendship Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNBeijing Children’s Hospital · CNPeking Union Medical College Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of creatinine-based glomerular filtration rate (GFR)-estimating equations to evaluate kidney function in elderly individuals does not appear to offer any performance advantages. We therefore aimed to develop an accurate GFR-estimating tool for this age group.

methodsAdults aged ≥ 65 years who underwent GFR measurement by technetium-99 m-diethylene triamine pentaacetic acid (

resultsThe study included 1,222 older adults. The mean age of both the training cohort (n = 978) and the test cohort (n = 244) was 72 ± 6 years, with 544 (55.6%) and 129 (52.9%) males, respectively. The median bias of BPNN was 2.06 ml/min/1.73 m

conclusionsThe novel BPNN tool is more accurate than the currently available creatinine-based GFR estimation equations in an older population and could be recommended for routine clinical use.

Indexed as

KidneyRenal Insufficiency, ChronicAgedCreatinineFemaleGlomerular Filtration RateHumansMaleNeural Networks, ComputerPentetic AcidCreatininePentetic AcidBack propagation neural networkElderlyEstimation equationGlomerular filtration rateSerum creatinine

Identifiers

PMID37226135
PMCPMC10207816
OpenAlexW4377942321

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.