Evidence map›Paper›PMID 34540290›Full record

ArticleInternational journal of nephrology2021

Development and Validation of Creatinine-Based Estimates of the Glomerular Filtration Rate Equation from

Azrina Md Ralib, Farah Nadia Mohd Hanafiah, Iqbalmunawwir Abd Rashid, Mohamad Shahrir Abd Rahim, Fatimah Dzaharudin, Mohd Basri Mat Nor

Registry-linked trialOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of nephrology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05112393 (Development and Validation of Creatinine-Based Estimates of the Glomerular Filtration Rate Equation From Chromium EDTA Imaging in the Multi-racial Malaysian Population), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 84% 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.

NCT05112393 unknown statusnot on this map

Development and Validation of Creatinine-Based Estimates of the Glomerular Filtration Rate Equation From Chromium EDTA Imaging in the Multi-racial Malaysian Population

TypeobservationalSponsorUniversity of MalayaRan2021 to 2022Enrolled200ConditionsRenal Function DisorderArmsDevelopment of new estimating Glomerular Filtration Rate (eGFR) equation, Validation of new estimating Glomerular Filtration Rate (eGFR) equation
3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Azrina Md RalibDepartment of Anaesthesiology and Intensive Care, Kulliyyah of Medicine, International Islamic University Malaysia, Kuantan, Pahang, Malaysia.ORCID https://orcid.org/0000-0001-5743-9426
Farah Nadia Mohd HanafiahDepartment of Anaesthesiology and Intensive Care, Kulliyyah of Medicine, International Islamic University Malaysia, Kuantan, Pahang, Malaysia.ORCID https://orcid.org/0000-0002-4383-0464
Iqbalmunawwir Abd RashidDepartment of Anaesthesiology and Intensive Care, Kulliyyah of Medicine, International Islamic University Malaysia, Kuantan, Pahang, Malaysia.ORCID https://orcid.org/0000-0002-4899-8821
Mohamad Shahrir Abd RahimDepartment of Radiology, Kulliyyah of Medicine, International Islamic University Malaysia, Kuantan, Pahang, Malaysia.ORCID https://orcid.org/0000-0003-4822-0806
Fatimah DzaharudinDepartment of Mechanical Engineering, Kulliyyah of Engineering, International Islamic University Malaysia, Gombak, Selangor, Malaysia.ORCID https://orcid.org/0000-0002-3540-4561
Mohd Basri Mat NorDepartment of Anaesthesiology and Intensive Care, Kulliyyah of Medicine, International Islamic University Malaysia, Kuantan, Pahang, Malaysia.ORCID https://orcid.org/0000-0002-5433-6357
International Islamic University Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAccurate assessment of glomerular filtration rate (GFR) is very important for diagnostic and therapeutic intervention. Clinically, GFR is estimated from plasma creatinine using equations such as Cockcroft-Gault, Modification of Diet in Renal Disease, and Chronic Kidney Disease-Epidemiology Collaboration (CKD-EPI) equations. However, these were developed in the Western population. To the best of our knowledge, there was no equation that has been developed specifically in our population.

objectivesWe developed a new equation based on the gold standard of

methodsThis was a cross-sectional study using the existing record of patients who were referred for

resultsData of 187 patients were analysed from January 2016 to March 2021. Of these, 94 were randomised to the development cohort and 93 to the validation cohort. A new equation of eGFR was determined as 16.637 ∗ 0.9935

conclusionThe new equation which was developed specifically using our local data population was the most accurate and precise, with less bias compared to the other equations. Further study validating this equation in the perioperative and intensive care patients is needed.

Identifiers

PMID34540290
PMCPMC8443382
OpenAlexW3197431305

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Registered trials

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.