Evidence map›Paper›PMID 25977880›Full record

ArticleEJNMMI research2014

Prediction of clinically relevant hyperkalemia in patients treated with peptide receptor radionuclide therapy.

Constantin Lapa, Rudolf A Werner, Christina Bluemel, Katharina Lueckerath, Dirk O Muegge, Alexander Strate, Heribert Haenscheid, Andreas Schirbel, Martin S Allen-Auerbach, Ralph A Bundschuh and 2 more

Open access · goldAbstract read
In one paragraph

Article in EJNMMI research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Article
  3. Pharmaceutics · 2021
    Review
  4. Article
  5. Article
  6. European journal of nuclear medicine and molecular imaging · 2017
    Article
  7. Article
  8. Review
  9. 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

12 authors at 4 institutions in 3 countries.

Constantin LapaDepartment of Nuclear Medicine, University Hospital Würzburg, Oberdürrbacher Str. 6, Würzburg 97080, Germany.
Rudolf A WernerDepartment of Nuclear Medicine, University Hospital Würzburg, Oberdürrbacher Str. 6, Würzburg 97080, Germany.
Christina BluemelDepartment of Nuclear Medicine, University Hospital Würzburg, Oberdürrbacher Str. 6, Würzburg 97080, Germany.
Katharina LueckerathDepartment of Nuclear Medicine, University Hospital Würzburg, Oberdürrbacher Str. 6, Würzburg 97080, Germany.
Dirk O MueggeInstitute of Psychology, University of Innsbruck, Innsbruck, Austria.
Alexander StrateInstitute of Clinical Chemistry, University Hospital Würzburg, Oberdürrbacher Str. 6, Würzburg 97080, Germany.
Heribert HaenscheidDepartment of Nuclear Medicine, University Hospital Würzburg, Oberdürrbacher Str. 6, Würzburg 97080, Germany.
Andreas SchirbelDepartment of Nuclear Medicine, University Hospital Würzburg, Oberdürrbacher Str. 6, Würzburg 97080, Germany.
Martin S Allen-AuerbachAhmanson Translational Imaging Division, Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at UCLA, 10833 Le Conte Avenue, Los Angeles 90095, CA, USA.
Ralph A BundschuhDepartment of Nuclear Medicine, University Hospital Bonn, Sigmund-Freud-Straße 25, Bonn 53127, Germany.
Andreas K BuckDepartment of Nuclear Medicine, University Hospital Würzburg, Oberdürrbacher Str. 6, Würzburg 97080, Germany.
Ken HerrmannDepartment of Nuclear Medicine, University Hospital Würzburg, Oberdürrbacher Str. 6, Würzburg 97080, Germany.
Universitätsklinikum Würzburg · DEUniversität Innsbruck · ATUniversity Hospital Bonn · DEUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeptide receptor radionuclide therapy (PRRT) is applied in patients with advanced neuroendocrine tumors. Co-infused amino acids (AA) should prevent nephrotoxicity. The aims of this study were to correlate the incidence of AA-induced hyperkalemia (HK) (≥5.0 mmol/l) and to identify predictors of AA-induced severe HK (>6.0).

methodsIn 38 patients, standard activity of (177)Lu-labelled somatostatin analogs was administered. Pre-therapeutic kidney function was assessed by renal scintigraphy and laboratory tests. For kidney protection, AA was co-infused. Biochemical parameters (potassium, glomerular filtration rate, creatinine, blood urea nitrogen (BUN), sodium, phosphate, chloride, and lactate dehydrogenase (LDH)) were obtained prior to 4 and 24 h after the AA infusion. Incidence of HK (≥5.0) was correlated with pre-therapeutic kidney function and serum parameters. Formulas for the prediction of severe hyperkalemia (>6.0) were computed and prospectively validated.

resultsAt 4 h, HK (≥5.0) was present in 94.7% with severe HK (>6.0) in 36.1%. Values normalized after 24 h in 84.2%. Pre-therapeutic kidney function did not correlate with the incidence of severe HK. Increases in K(+) were significantly correlated with decreases in phosphate (r = -0.444, p < 0.005) and increases in BUN (r = 0.313, p = 0.056). A baseline BUN of >28 mg/dl had a sensitivity of 84.6% and a specificity of 60.0% (AUC = 0.75) in predicting severe HK of >6.0 (phosphate, AUC = 0.37). Computing of five standard serum parameters (potassium, BUN, sodium, phosphate, LDH) resulted in a sensitivity of 88.9% and a specificity of 79.3% for the prediction of severe HK >6.0 (accuracy = 81.6%).

conclusionsA combination of serum parameters predicted prospectively the occurrence of relevant HK with an accuracy of 81.6% underlining its potential utility for identifying 'high-risk' patients prone to PRRT.

Indexed as

Amino acidsHyperkalemiaKidney functionMAG3NETPRRT

Identifiers

PMID25977880
PMCPMC4412196
OpenAlexW2144007892

What OpenQuestion holds

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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.