Evidence map›Paper›PMID 23868898›Full record

ReviewClinical journal of the American Society of Nephrology : CJASN2013

Kidney disease and multiple myeloma.

Eliot C Heher, Helmut G Rennke, Jacob P Laubach, Paul G Richardson

Open access · bronzeAbstract readReview
In one paragraph

Review in Clinical journal of the American Society of Nephrology : CJASN, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 2 pooled it
5.3field-weighted citation impact, top 4% 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

77 citing papers in PubMed, 2 syntheses or guidelines pooled it, 170 citations in OpenAlex.

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17 more citing papers are in PubMed but not listed here.

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

4 authors at 3 institutions in 1 country.

Eliot C HeherNephrology Division and Transplantation Center, Massachusetts General Hospital, Boston, Massachusetts;, †Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts, ‡Jerome Lipper Multiple Myeloma Center, Division of Hematologic Malignancy, Department of Medical Oncology, Dana Farber Cancer Institute, Boston, Massachusetts.
Helmut G Rennke
Jacob P Laubach
Paul G Richardson
Dana-Farber Cancer Institute · USBrigham and Women's Hospital · USHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kidney injury is a common complication of multiple myeloma and other plasma cell dyscrasias, and it is associated with increased mortality. Multiple pathogenic mechanisms can contribute to kidney injury in the patient with myeloma, some of which are the result of nephrotoxic monoclonal Ig and some of which are independent of paraprotein deposition. The pathogenic mechanisms that underlie paraprotein-related kidney disease are increasingly well understood. A novel assay allowing the quantification of free light chains in the serum has aided the diagnosis of new onset disease and allowed for the earlier detection of relapse. Novel myeloma agents have shown considerable promise in reversing renal failure in some patients and improving outcomes. Stem cell transplantation remains a mainstay of management for younger patients with myeloma who are suitable candidates for intensive therapy, whereas the role of new drugs, plasma exchange, and kidney transplantation continues to evolve.

Indexed as

Acute Kidney InjuryAnimalsAntineoplastic AgentsHumansImmunoglobulinsKidney TransplantationMultiple MyelomaPlasma ExchangeStem Cell TransplantationTreatment OutcomeAntineoplastic AgentsImmunoglobulins

Identifiers

PMID23868898
PMCPMC3817918
OpenAlexW2122608040

What OpenQuestion holds

Textmetadata
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.