Evidence map›Paper›PMID 30367618›Full record

ArticleBMC nephrology2018

Prognostic value of inflammation-based prognostic scores on outcome in patients undergoing continuous ambulatory peritoneal dialysis.

Lu Cai, Jianwen Yu, Jing Yu, Yuan Peng, Habib Ullah, Chunyan Yi, Jianxiong Lin, Xiao Yang, Xueqing Yu

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 28% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 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

9 authors at 1 institution in 1 country.

Lu CaiDepartment of Nephrology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China.
Jianwen YuDepartment of Nephrology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China.
Jing YuDepartment of Nephrology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China.
Yuan PengDepartment of Nephrology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China.
Habib UllahDepartment of Nephrology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China.
Chunyan YiDepartment of Nephrology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China.
Jianxiong LinDepartment of Nephrology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China.
Xiao YangDepartment of Nephrology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China.
Xueqing YuDepartment of Nephrology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China. yuxq@mail.sysu.edu.cn.ORCID 0000-0001-8624-744X
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInflammation-based prognostic scores have been used as outcome predictors in patients with cancer or on hemodialysis. However, their role in patients on continuous ambulatory peritoneal dialysis (CAPD) remains unclear. This study aimed to examine the prognostic value of inflammation-based composite scores for mortality in CAPD patients.

methodsThis study was conducted in CAPD patients enrolled from January 1, 2006 to December 31, 2014 and followed until December 31, 2016. Three inflammation-based prognostic scores, including Glasgow prognostic score (GPS), prognostic nutritional index (PNI), and prognostic index (PI), were conducted in this study. The associations between these scores and all-cause or cardiovascular mortality were evaluated by Kaplan-Meier method and Cox proportional hazards models. The areas under the curve (AUC) of receiver-operating characteristic (ROC) analysis were used to determine the predictive values of mortality.

resultsA total of 1501 patients were included. During a median follow-up of 38.7 (range, 21.6-62.3) months, 346 (23.1%) patients died, of which 168 (48.6%) were due to cardiovascular diseases (CVD). After adjustment for confounders, the results showed that elevated GPS, PNI, and PI scores were all independently associated with all-cause [GPS: Score 1: hazard ratio(HR) 3.94, 95% confidence interval(CI) 2.90-5.35; Score 2: HR 7.56, 95% CI 5.35-10.67; PNI: HR 1.82, 95% CI 1.36-2.43; PI: Score 1: HR 2.08, 95% CI 1.63-2.65; Score 2: HR 3.03, 95% CI 2.00-4.60)] and CVD mortality(GPS: Score 1: HR 4.41, 95% CI 2.76-7.03; Score 2: HR 9.64, 95% CI 5.72-16.26; PNI: HR 1.63, 95% CI 1.06-2.51; PI: Score 1: HR 2.57, 95% CI 1.81-3.66, Score 2: HR 3.85, 95% CI 1.99-7.46).The AUC values of GPS score were 0.798 (95% CI0.770-0.826) for all-cause mortality and 0.781 (95% CI 0.744-0.817) for CVD mortality, both of which significantly higher than those of PNI and PI scores (P < 0.001, respectively).

conclusionsAll elevated GPS, PNI, and PI scores were independently associated with all-cause and CVD mortality. The GPS score showed better predictive value than PNI and PI scores in CAPD patients.

Indexed as

Nutrition AssessmentAdultCardiovascular DiseasesCohort StudiesFemaleFollow-Up StudiesHumansInflammationMaleMiddle AgedPeritoneal Dialysis, Continuous AmbulatoryPrognosisRenal Insufficiency, ChronicRetrospective StudiesSurvival RateTreatment OutcomeAll-cause mortalityCardiovascular mortalityContinuous ambulatory peritoneal dialysisInflammation-based prognostic scores

Identifiers

PMID30367618
PMCPMC6204053
OpenAlexW2898485686

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LicenceCC BY
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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.