Evidence map›Paper›PMID 29635242›Full record

ArticleCardiorenal medicine2018

Pulmonary Catherization Data Correlate Poorly with Renal Function in Heart Failure.

Luke Masha, James Stone, Danielle Stone, Jun Zhang, Luo Sheng

Open access · bronzeAbstract read
In one paragraph

Article in Cardiorenal medicine, 2018. 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
–field-weighted citation impact, top 93% 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, 0 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

5 authors at 1 institution in 1 country.

Luke MashaSection of Cardiology, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
James StoneSection of Internal Medicine, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
Danielle StoneSection of Internal Medicine, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
Jun ZhangSchool of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
Luo ShengSchool of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
The University of Texas Health Science Center at Houston · US

Funding

Statistical Methods for Clinical Trials with Multivariate Longitudinal OutcomesR01NS091307 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI LUO, SHENG · 2015 to 2018
$1.2M
NINDS NIH HHS R01 NS091307
6 · The paper itself

Abstract

backgroundThe mechanisms of renal dysfunction in heart failure are poorly understood. We chose to explore the relationship of cardiac filling pressures and cardiac index (CI) in relation to renal dysfunction in advanced heart failure.

objectivesTo determine the relationship between renal function and cardiac filling pressures using the United Network of Organ Sharing (UNOS) pulmonary artery catherization registry.

methodsPatients over the age of 18 years who were listed for single-organ heart transplantation were included. Exclusion criteria included a history of mechanical circulatory support, previous transplantation, any use of renal replacement therapy, prior history of malignancy, and cardiac surgery, amongst others. Correlations between serum creatinine (SCr) and CI, pulmonary capillary wedge pressure (PCWP), pulmonary artery systolic pressure (PASP), and pulmonary artery diastolic pressure (PADP) were assessed by Pearson correlation coefficients and simple linear regression coefficients.

resultsPearson correlation coefficients between SCr and PCWP, PASP, and PADP were near zero with values of 0.1, 0.07, and 0.08, respectively (p < 0.0001). A weak negative correlation coefficient between SCr and CI was found (correlation coefficient, -0.045, p = 0.027). In a subgroup of young patients unlikely to have noncardiac etiologies, no significant correlations between these values were identified.

conclusionThese findings suggest that, as assessed by pulmonary artery catherization, none of the factors - PCWP, PASP, PADP, or CI - play a prominent role in cardiorenal syndromes.

Indexed as

Catheterization, Swan-GanzHemodynamicsAdultCardio-Renal SyndromeFemaleHeart FailureHumansKidneyMaleMiddle AgedCardiorenal syndromesHeart catherizationHeart failureRenal failure

Identifiers

PMID29635242
PMCPMC6170923
OpenAlexW2797690981

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.