Evidence map›Paper›PMID 37435106›Full record

ArticleJournal of medical cases2023

Unique Variant of Zieve Syndrome With a Normal Reticulocyte Count.

Apurva Vedire, Steven Imburgio, Harshavardhan Sanekommu, Rushi Patel, Haley Johnson, Sobaan Taj, Mohammad Hossain

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Journal of medical cases, 2023. 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
0.8field-weighted citation impact, top 27% 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, 3 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 1 institution in 1 country.

Apurva VedireDepartment of Medicine, Jersey Shore University Medical Center, Neptune City, NJ 07753, USA.
Steven ImburgioDepartment of Medicine, Jersey Shore University Medical Center, Neptune City, NJ 07753, USA.
Harshavardhan SanekommuDepartment of Medicine, Jersey Shore University Medical Center, Neptune City, NJ 07753, USA.
Rushi PatelDepartment of Medicine, Jersey Shore University Medical Center, Neptune City, NJ 07753, USA.
Haley JohnsonDepartment of Medicine, Jersey Shore University Medical Center, Neptune City, NJ 07753, USA.
Sobaan TajDepartment of Medicine, Jersey Shore University Medical Center, Neptune City, NJ 07753, USA.
Mohammad HossainDepartment of Medicine, Jersey Shore University Medical Center, Neptune City, NJ 07753, USA.
Jersey Shore University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zieve syndrome is a rare diagnosis seen in patients with chronic alcohol use which consists of a distinct clinical triad of hyperlipidemia, hemolytic anemia, and jaundice. Patients typically have an elevated reticulocyte count due to the hemolytic nature of the anemia. We present the case of a 44-year-old female who was discovered to have an unusual variant of Zieve syndrome with a normal reticulocyte count, which was believed to be due to suppression of bone marrow from excessive alcohol consumption. She was treated with steroids and complete alcohol cessation, with remarkable improvement on subsequent follow-up. An exhaustive literature review of 31 documented cases of Zieve syndrome was conducted to better understand the clinical presentation and overall prognosis of these patients. This case report and literature review aimed to improve patient outcomes through increased recognition of this underrecognized syndrome.

Indexed as

Hemolytic anemiaHyperlipidemiaJaundiceZieve syndrome

Identifiers

PMID37435106
PMCPMC10332873
OpenAlexW4382722471

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.