Evidence map›Paper›PMID 38623456›Full record

ReviewOpen medicine (Warsaw, Poland)2024

Adverse reactions of piperacillin: A literature review of case reports.

Hongru Zhang, Liping Yang

Open access · goldAbstract readReview
In one paragraph

Review in Open medicine (Warsaw, Poland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Real-World Data on Severe Cutaneous Adverse Reactions to Drugs.Pharmaceuticals (Basel, Switzerland) · 2025
    Article
  3. 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

2 authors at 1 institution in 1 country.

Hongru ZhangDepartment of Pharmacy, ZhangJiakou First Hospital, Zhangjiakou City, Hebei Province 075000, China.
Liping YangDepartment of Pharmacy, Beijing Hospital, Beijing, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: This study aimed to summarize case reports of adverse drug reactions (ADRs) caused by piperacillin and explore their effects on human organs in real-world settings. Method: Case reports of piperacillin ADRs were collected by searching databases such as PubMed, Embase, Web of Science, CNKI, WanFang, and VIP from inception to December 2022. Results: A total of 170 patients were ultimately included. The results revealed that ADRs caused by piperacillin were primarily associated with the entire body, followed by the blood system, skin and soft tissues, and the nervous system. The most frequently reported cases included anaphylactic shock, drug fever, rash, and thrombocytopenia. The most severe ADRs were identified as anaphylactic shock and bullous epidermal necrolysis. Furthermore, a comparison was made between systemic adverse reactions caused by piperacillin as a single drug and two composite preparations of piperacillin/β-lactamase inhibitor. ADRs not mentioned in the instructions included convulsions or hallucinations and Kounis syndrome (KS). Conclusion: This review suggests that the most severe ADRs associated with piperacillin are toxic epidermal necrolysis and anaphylactic shock. Rare ADRs caused by piperacillin, such as myoclonic jerks, hallucinations, and KS, were identified. The most common symptom with domestic preparations of piperacillin/sulbactam and piperacillin sodium was dyspnea.

Indexed as

adverse drug reactionsanaphylactic shockcase reportspiperacillintoxic epidermal necrolysis

Identifiers

PMID38623456
PMCPMC11017182
OpenAlexW4394676108

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.