Evidence map›Paper›PMID 37493757›Full record

ReviewInnere Medizin (Heidelberg, Germany)2023

[In macrohematuria, medication history also needs to be considered : Penicillin-induced immune hemolysis: a case report and review of literature].

K Schlatterer, M Marschner, C Hausdorf

Abstract readReviewCase ReportsEnglish Abstract
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In one paragraph

Review in Innere Medizin (Heidelberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 2 institutions in 1 country.

K SchlattererMedizinische Hochschule Brandenburg Theodor Fontane, Neuruppin, Deutschland. k.schlatterer@gmx.de.
M MarschnerAbteilung für Innere Medizin/Kardiologie, Sankt Gertrauden-Krankenhaus, Berlin, Deutschland.
C HausdorfAbteilung für Innere Medizin/Kardiologie, Sankt Gertrauden-Krankenhaus, Berlin, Deutschland.
Sankt Gertrauden Krankenhaus · DEMedizinische Hochschule Brandenburg Theodor Fontane · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDrug-mediated immune hemolysis is a rare but potentially life-threatening condition. Based on a case of penicillin-induced immune hemolysis, a structured literature review of case reports and studies on penicillin-mediated Drug-Induced Immune Hemolytic Anemia (DIIHA) was carried out. CASE REPORT: A 28-year-old male patient presented to the emergency department with gross hematuria and non-specific abdominal complaints. The patient had a 10-day history of respiratory infection with bacterial tonsillitis, treated orally with penicillin V on an outpatient basis. Laboratory diagnostics detected pathologically altered direct and indirect hemolysis parameters. After stopping the medication, the patient's condition could be stabilized.

conclusionDiagnosis of penicillin-mediated immune hemolysis requires structured cooperation between clinic and laboratory, as clinical and serological findings may be highly variable with the risk of misdiagnosis. Due to the rarity of the disease, this case report is intended to raise awareness with respect to the triad of abrupt drop in hemoglobin levels in connection with drug therapy and in combination with a strongly positive direct Coombs test.

Indexed as

Anemia, HemolyticHemolysisAdultCoombs TestHematuriaHumansMalePenicillinsPenicillinsAnemiaDrug-inducedHematuriaImmune hemolysisPenicillin

Identifiers

PMID37493757
OpenAlexW4385264898

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.