Evidence map›Paper›PMID 34765391›Full record

ArticleJIMD reports2021

A stone in the bone.

Matthieu Halfon, Pierre Cochat, Sebastien Kissling, Nicolas Dattner, Laurence de Leval, Fadi Fakhouri, Menno Pruijm, Olivier Bonny

Open access · goldAbstract read
In one paragraph

Article in JIMD reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. A stone in the bone.JIMD reports · 2021
    Article
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

8 authors at 2 institutions in 2 countries.

Matthieu HalfonService of Nephrology Lausanne University Hospital Lausanne Switzerland.
Pierre CochatCentre de référence des maladies rénales rares, Hospices Civils de Lyon Lyon France.
Sebastien KisslingService of Nephrology Lausanne University Hospital Lausanne Switzerland.
Nicolas DattnerDepartment of Laboratory Medicine and Pathology Institute of Pathology, Lausanne University Hospital and University of Lausanne Lausanne Switzerland.
Laurence de LevalDepartment of Laboratory Medicine and Pathology Institute of Pathology, Lausanne University Hospital and University of Lausanne Lausanne Switzerland.
Fadi FakhouriService of Nephrology Lausanne University Hospital Lausanne Switzerland.
Menno PruijmService of Nephrology Lausanne University Hospital Lausanne Switzerland.
Olivier BonnyService of Nephrology Lausanne University Hospital Lausanne Switzerland.
University of Lausanne · CHHospices Civils de Lyon · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary hyperoxaluria (PH) is a group of diseases due to mutations in genes coding for enzymes involved in oxalate metabolism. Three types of PH are identified depending on the gene mutated. Type 1 is the most frequent with 80% of the cases, while PH2 and PH3 are rarer. The severity of renal involvement varies between the three types. Indeed, between 60% and 80% of PH1 but only 20% of PH2 patients will reach end-stage kidney disease. In PH3 patients, dialysis is uncommon. Because oxalate clearance is impaired in CKD patients, oxalate can precipitate in various organs leading to systemic oxalosis. We report an uncommon presentation of bone oxalosis associated with hypercalcemia in a dialyzed patient. This report emphasizes the difficulties to diagnose primary hyperoxaluria and the challenge of treating dialyzed patients.

Indexed as

bonechronic kidney diseasehypercalcemiaoxalateoxalosisprimary hyperoxaluria

Identifiers

PMID34765391
PMCPMC8574174
OpenAlexW3206530267

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.