Evidence map›Paper›PMID 35016634›Full record

ArticleBMC nephrology2022

Utilizing the MEST score for prognostic staging in IgA nephropathy.

Yngvar Lunde Haaskjold, Rune Bjørneklett, Leif Bostad, Lars Sigurd Bostad, Njål Gjærde Lura, Thomas Knoop

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
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  15. Monocytes and Macrophages in Kidney Disease and Homeostasis.International journal of molecular sciences · 2024
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  20. Validation of two IgA nephropathy risk-prediction tools using a cohort with a long follow-up.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2023
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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

6 authors at 2 institutions in 1 country.

Yngvar Lunde HaaskjoldRenal Research Group, Department of Clinical Medicine, University of Bergen, Bergen, Norway. yngvarhaaskjold@gmail.com.
Rune BjørneklettRenal Research Group, Department of Clinical Medicine, University of Bergen, Bergen, Norway.
Leif BostadRenal Research Group, Department of Clinical Medicine, University of Bergen, Bergen, Norway.
Lars Sigurd BostadRenal Research Group, Department of Clinical Medicine, University of Bergen, Bergen, Norway.
Njål Gjærde LuraDepartment of Radiology, Haukeland University Hospital, Bergen, Norway.
Thomas KnoopRenal Research Group, Department of Clinical Medicine, University of Bergen, Bergen, Norway.
University of Bergen · NOHaukeland University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Oxford classification/MEST score is an established histopathologic scoring system for patients with IgA nephropathy (IgAN). The objective of this study was to derive a prognostic model for IgAN based on the MEST score and histopathologic features.

methodsA total of 306 patients with biopsy-proven primary IgAN were included. Histopathologic samples were retrieved from the Norwegian Kidney Biopsy Registry and reclassified according to the Oxford classification. The study endpoint was end-stage renal disease (ESRD). Patients were subclassified into three risk models based on histologic features (Model A), a composite score calculated from the adjusted hazard ratio values (Model B), and on quartiles (Model C).

resultsThe mean follow-up time was 16.5 years (range 0.2-28.1). In total, 61 (20%) patients reached ESRD during the study period. Univariate analysis of M, E, S, T and C lesions demonstrated that all types were associated with an increased risk of ESRD; however, a multivariate analysis revealed that only S, T and C lesions were associated with poor outcomes. Statistical analysis of 15-year data demonstrated that Models A and B were as predictive as the MEST score, with an area-under-the-curve at 0.85. The Harrel c index values were 0.81 and 0.80 for the MEST score and Models A and B, respectively. In the present cohort, adding C lesions to the MEST score did not improve the models prognostic value.

conclusionsPatients can be divided into risk classes based on their MEST scores. Histopathologic data provide valuable prognostic information at the time of diagnosis. Model B was the most suitable for clinical practice because it was the most user-friendly.

Indexed as

AdultFemaleFollow-Up StudiesGlomerulonephritis, IGAHumansKidney Failure, ChronicMaleMiddle AgedPrognosisTime FactorsIgA nephropathyKidney biopsyMEST scorePrediction modelPrognosis

Identifiers

PMID35016634
PMCPMC8753851
OpenAlexW4205094686

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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.