Evidence map›Paper›PMID 33717567›Full record

ArticleJournal of thoracic disease2021

Prognostic value of estimated glomerular filtration rate and presence of proteinuria in type B aortic intramural hematoma.

Yang Yang, Weihao Li, Mingyuan Liu, Xiaoming Zhang, Qingle Li

Open access · diamondAbstract read
In one paragraph

Article in Journal of thoracic disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 2 institutions in 1 country.

Yang YangDepartment of Vascular Surgery, Peking University People's Hospital, Beijing, China.
Weihao LiDepartment of Vascular Surgery, Peking University People's Hospital, Beijing, China.
Mingyuan LiuDepartment of Vascular Surgery, Peking University People's Hospital, Beijing, China.
Xiaoming ZhangDepartment of Vascular Surgery, Peking University People's Hospital, Beijing, China.
Qingle LiDepartment of Vascular Surgery, Peking University People's Hospital, Beijing, China.
Peking University · CNPeking University People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough aggressive medical treatment is recommended in patients with type B aortic intramural hematoma (IMH), a variety of aortic events can occur during the later period. For early identification of these patients, the present study was aimed at evaluating the prognostic validity of estimated glomerular filtration rate (eGFR) and the presence of proteinuria in type B aortic IMH.

methodsData of 61 patients with type B IMH in Peking University People's Hospital from January 2008 to December 2018 were retrospectively collected. The serum creatinine level and urine protein levels were measured at admission. And eGFR were calculated by the CKD-EPI equation. Adverse aortic-related events were defined as a composite of satisfaction of criteria for surgical conversion (with or without actual surgical intervention) and death from aortic rupture.

resultsInitial eGFR was significantly different between patients with adverse aortic-related events and those without (P=0.003). On multivariate analysis, eGFR <90 mL/min/1.73 m

conclusionsInitial eGFR and presence of proteinuria were able to provide incremental prognostic information in addition to ulcer-like projection in patients with type B aortic IMH.

Indexed as

aortaEstimated glomerular filtration rate (eGFR)intramural hematoma (IMH)proteinuria

Identifiers

PMID33717567
PMCPMC7947484
OpenAlexW3121150900

What OpenQuestion holds

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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.