Evidence map›Paper›PMID 33284867›Full record

ReviewInternational journal of clinical and experimental pathology2020

Research progress of ulinastatin in the treatment of liver diseases.

Shangping Fang, Pengfei Li, Chenxu Zhu, Xiaoxiao Han, Pengju Bao, Wenjun Guo

Open access · greenAbstract readReview
In one paragraph

Review in International journal of clinical and experimental pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.0field-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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Elimination of intracellular CaInternational journal of molecular medicine · 2024
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
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

6 authors at 1 institution in 1 country.

Shangping FangSchool of Anaesthesia, Wannan Medical College Wuhu, Anhui, China.
Pengfei LiSchool of Anaesthesia, Wannan Medical College Wuhu, Anhui, China.
Chenxu ZhuSchool of Anaesthesia, Wannan Medical College Wuhu, Anhui, China.
Xiaoxiao HanSchool of Anaesthesia, Wannan Medical College Wuhu, Anhui, China.
Pengju BaoSchool of Anaesthesia, Wannan Medical College Wuhu, Anhui, China.
Wenjun GuoDepartment of Anesthesiology, Yi Jishan Hospital Affiliated to Wannan Medical College Wuhu, Anhui, China.
Wannan Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ulinastatin (UTI) is a trypsin inhibitor observed in urine. UTI can treat some diseases by inhibiting the broad-spectrum hydrolysis activity of various enzymes and other pharmacological effects. UTI can widely treat pancreatitis, systemic multiple organ dysfunction syndrome, circulatory failure, and toxic shock clinically. The liver is a major metabolic organ of the human body. Various biological metabolic reactions require the liver's participation. When various physical and chemical factors drive the body, it will damage the liver to varying degrees. As a clinically effective drug, UTI is also known to treat some liver diseases. This article mainly describes UTI's research progress in treating septic liver injury, hepatitis, liver fibrosis, autoimmune liver disease with liver failure, and liver ischemia-reperfusion injury.

Indexed as

an autoimmune liver disease with liver failurehepatic fibrosishepaticischemia-reperfusion injuryhepatitisseptic liver injuryUlinastatin

Identifiers

PMID33284867
PMCPMC7716140
OpenAlexW3113341141

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.