Evidence map›Paper›PMID 30287920›Full record

ArticleScientific reports2018

A Clinical Risk Prediction Tool for Peritonitis-Associated Treatment Failure in Peritoneal Dialysis Patients.

Surapon Nochaiwong, Chidchanok Ruengorn, Kiatkriangkrai Koyratkoson, Kednapa Thavorn, Ratanaporn Awiphan, Chayutthaphong Chaisai, Sirayut Phatthanasobhon, Kajohnsak Noppakun, Yuttitham Suteeka, Setthapon Panyathong and 4 more

Open access · goldAbstract readEvaluation StudyMulticenter Study
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 3 pooled it
1.9field-weighted citation impact, top 15% 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

34 citing papers in PubMed, 3 syntheses or guidelines pooled it, 51 citations in OpenAlex.

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  18. Peritonitis caused byFrontiers in medicine · 2024
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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

14 authors at 6 institutions in 2 countries.

Surapon NochaiwongDepartment of Pharmaceutical Care, Faculty of Pharmacy, Chiang Mai University, Chiang Mai, 50200, Thailand. surapon.nochaiwong@gmail.com.ORCID http://orcid.org/0000-0003-1100-7171
Chidchanok RuengornDepartment of Pharmaceutical Care, Faculty of Pharmacy, Chiang Mai University, Chiang Mai, 50200, Thailand. chidchanok.r@elearning.cmu.ac.th.ORCID http://orcid.org/0000-0001-7927-1425
Kiatkriangkrai KoyratkosonDepartment of Pharmaceutical Care, Faculty of Pharmacy, Chiang Mai University, Chiang Mai, 50200, Thailand.
Kednapa ThavornPharmacoepidemiology and Statistics Research Center (PESRC), Faculty of Pharmacy, Chiang Mai University, Chiang Mai, 50200, Thailand.ORCID http://orcid.org/0000-0003-4738-8447
Ratanaporn AwiphanDepartment of Pharmaceutical Care, Faculty of Pharmacy, Chiang Mai University, Chiang Mai, 50200, Thailand.
Chayutthaphong ChaisaiDepartment of Pharmaceutical Care, Faculty of Pharmacy, Chiang Mai University, Chiang Mai, 50200, Thailand.
Sirayut PhatthanasobhonDepartment of Pharmaceutical Care, Faculty of Pharmacy, Chiang Mai University, Chiang Mai, 50200, Thailand.
Kajohnsak NoppakunPharmacoepidemiology and Statistics Research Center (PESRC), Faculty of Pharmacy, Chiang Mai University, Chiang Mai, 50200, Thailand.ORCID http://orcid.org/0000-0002-5783-8766
Yuttitham SuteekaDivision of Nephrology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand.
Setthapon PanyathongPharmacoepidemiology and Statistics Research Center (PESRC), Faculty of Pharmacy, Chiang Mai University, Chiang Mai, 50200, Thailand.
Phongsak DandechaDivision of Nephrology, Department of Internal Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand.
Wilaiwan ChongruksutPharmacoepidemiology and Statistics Research Center (PESRC), Faculty of Pharmacy, Chiang Mai University, Chiang Mai, 50200, Thailand.ORCID http://orcid.org/0000-0002-9358-314X
Sirisak NantaPharmacoepidemiology and Statistics Research Center (PESRC), Faculty of Pharmacy, Chiang Mai University, Chiang Mai, 50200, Thailand.
Thai Renal Outcomes Research (THOR) Investigators
Chiang Mai University · THNakornping Hospital · THPrince of Songkla University · THMaesot General Hospital · THUniversity of Ottawa · CAUniversity of Phayao · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A tool to predict peritonitis-associated treatment failure among peritoneal dialysis (PD) patients has not yet been established. We conducted a multicentre, retrospective cohort study among 1,025 PD patients between 2006 and 2016 in Thailand to develop and internally validate such a tool. Treatment failure was defined as either a requirement for catheter removal, a switch to haemodialysis, or peritonitis-associated mortality. Prediction model performances were analysed using discrimination (C-statistics) and calibration (Hosmer-Lemeshow test) tests. Predictors were weighted to calculate a risk score. In total, 435 patients with 855 episodes of peritonitis were identified; 215 (25.2%) episodes resulted in treatment failure. A total risk score of 11.5 was developed including, diabetes, systolic blood pressure <90 mmHg, and dialysate leukocyte count >1,000/mm

Indexed as

Decision Support TechniquesAgedFemaleHumansMaleMiddle AgedPeritoneal DialysisPeritonitisRetrospective StudiesThailandTreatment Failure

Identifiers

PMID30287920
PMCPMC6172229
OpenAlexW2893176681

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.