Evidence map›Paper›PMID 33311451›Full record

ArticleBlood cancer journal2020

Correlation between urine ACR and 24-h proteinuria in a real-world cohort of systemic AL amyloidosis patients.

Alissa Visram, Abdullah S Al Saleh, Harsh Parmar, Jennifer S McDonald, John C Lieske, Iuliana Vaxman, Eli Muchtar, Miriam Hobbs, Amie Fonder, Yi L Hwa and 16 more

Open access · goldAbstract read
In one paragraph

Article in Blood cancer journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Cardiac Amyloidosis: Pathogenesis, Diagnosis, and Treatment.Deutsches Arzteblatt international · 2026
    Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
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  9. Article
  10. Biomarkers in AL Amyloidosis.International journal of molecular sciences · 2021
    Review
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

26 authors at 2 institutions in 4 countries.

Alissa VisramDivision of Hematology, Mayo Clinic, Rochester, MI, USA.
Abdullah S Al SalehDivision of Hematology, Mayo Clinic, Rochester, MI, USA.
Harsh ParmarDivision of Hematology, John Theurer Cancer Center at Hackensack University, Hackensack, NJ, USA.
Jennifer S McDonaldDepartment of Radiology, Mayo Clinic, Rochester, MI, USA.
John C LieskeDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MI, USA.ORCID 0000-0002-0202-5944
Iuliana VaxmanDivision of Hematology, Mayo Clinic, Rochester, MI, USA.
Eli MuchtarDivision of Hematology, Mayo Clinic, Rochester, MI, USA.
Miriam HobbsDivision of Hematology, Mayo Clinic, Rochester, MI, USA.
Amie FonderDivision of Hematology, Mayo Clinic, Rochester, MI, USA.
Yi L HwaDivision of Hematology, Mayo Clinic, Rochester, MI, USA.
Francis K BuadiDivision of Hematology, Mayo Clinic, Rochester, MI, USA.
David DingliDivision of Hematology, Mayo Clinic, Rochester, MI, USA.
Martha Q LacyDivision of Hematology, Mayo Clinic, Rochester, MI, USA.
Angela DispenzieriDivision of Hematology, Mayo Clinic, Rochester, MI, USA.ORCID 0000-0001-8780-9512
Prashant KapoorDivision of Hematology, Mayo Clinic, Rochester, MI, USA.
Suzanne R HaymanDivision of Hematology, Mayo Clinic, Rochester, MI, USA.
Rahma WarsameDivision of Hematology, Mayo Clinic, Rochester, MI, USA.
Taxiarchis V KourelisDivision of Hematology, Mayo Clinic, Rochester, MI, USA.
Mustaqeem SiddiquiDivision of Hematology, Mayo Clinic, Rochester, MI, USA.ORCID 0000-0002-4640-7311
Wilson I GonsalvesDivision of Hematology, Mayo Clinic, Rochester, MI, USA.
John A LustDivision of Hematology, Mayo Clinic, Rochester, MI, USA.
Robert A KyleDivision of Hematology, Mayo Clinic, Rochester, MI, USA.
S Vincent RajkumarDivision of Hematology, Mayo Clinic, Rochester, MI, USA.ORCID 0000-0002-5862-1833
Morie A GertzDivision of Hematology, Mayo Clinic, Rochester, MI, USA.ORCID 0000-0002-3853-5196
Shaji K KumarDivision of Hematology, Mayo Clinic, Rochester, MI, USA.ORCID 0000-0001-5392-9284
Nelson LeungDivision of Nephrology, Mayo Clinic, Rochester, MI, USA. leung.nelson@mayo.edu.ORCID 0000-0002-5651-1411
Mayo Clinic · USHackensack University Medical Center · US

Funding

Project 4: Targeting Resistance to T-Cell Directed Therapy in Multiple MyelomaP50CA186781 · NCI · MAYO CLINIC ARIZONA · PI Amylou Constance Dueck · 2015 to 2026
$25.5M
NCI NIH HHS P50 CA186781
6 · The paper itself

Abstract

A 24-h urine protein collection (24hUP), the gold standard for measuring albuminuria in systemic AL amyloidosis, is cumbersome and inaccurate. We retrospectively reviewed 575 patients with systemic AL amyloidosis to assess the correlation between a urine albumin to creatinine ratio (uACR) and the 24hUP. The uACR correlated strongly with 24hUP at diagnosis (Pearson's r = 0.87, 95% CI 0.83-0.90) and during the disease course (Pearson's r = 0.88, 95% CI 0.86-0.90). A uACR ≥300 mg/g estimated a 24hUP ≥ 500 mg with a sensitivity of 92% and specificity of 97% (area under the receiver operating curve = 0.938, 95% CI 0.919-0.957). A uACR cutoff of 3600 mg/g best predicted a 24hUP > 5000 g (sensitivity 93%, specificity 94%), and renal stage at diagnosis was strongly concordant using either 24hUP or uACR as the proteinuria measure (k = 0.823, 95% CI 0.728-0.919). In patients with serial urine collections, a > 30% decrease in uACR predicted a > 30% decrease in 24hUP with a sensitivity of 94%. In conclusion, the uACR is a reliable and convenient method for ruling out proteinuria >500 mg per day, prognosticating renal outcomes, and assessing renal response to therapy. Further studies are needed to validate the uACR cutoffs proposed in this study.

Indexed as

AgedAlbuminuriaFemaleHumansImmunoglobulin Light-chain AmyloidosisMaleMiddle AgedRetrospective Studies

Identifiers

PMID33311451
PMCPMC7733489
OpenAlexW3112832052

What OpenQuestion holds

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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.