Evidence map›Paper›PMID 29234197›Full record

ArticleJournal of clinical and experimental hepatology2017

Echocardiographic and Electrocardiographic Predictors of Adverse Outcomes in Spontaneous Bacterial Peritonitis.

Mahek Shah, Soumya Patnaik, Obiora Maludum, Shantanu Patil, Toni Anne De Venecia, Vincent M Figueredo

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical and experimental hepatology, 2017. 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 90% 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

6 authors at 3 institutions in 1 country.

Mahek ShahDepartment of Cardiology, Lehigh Valley Health Network, Allentown, PA, USA.
Soumya PatnaikDepartment of Medicine, Einstein Medical Center, Philadelphia, PA, USA.
Obiora MaludumDepartment of Medicine, Einstein Medical Center, Philadelphia, PA, USA.
Shantanu PatilDepartment of Medicine, Einstein Medical Center, Philadelphia, PA, USA.
Toni Anne De VeneciaDepartment of Medicine, Einstein Medical Center, Philadelphia, PA, USA.
Vincent M FigueredoDepartment of Cardiology, Einstein Medical Center, Philadelphia, PA, USA.
Einstein Medical Center Philadelphia · USLehigh Valley Health Network · USSidney Kimmel Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with cirrhosis who develop Spontaneous Bacterial Peritonitis (SBP) suffer from cirrhotic cardiomyopathy which is characterized by impaired contractility in response to stress despite a relatively normal resting cardiac output. We hypothesized that electrocardiographic and echocardiographic information would help prognosticate patients developing SBP in addition to existing scoring systems.

methodsCirrhotic patients admitted to Einstein Medical Center from 01/01/2005 to 6/30/2012 for SBP, and did not receive a transplant within one year, were included. Patients were classified as QTc low vs. high, and

resultsAmong 112 patients with electrocardiogam, 78 were classified as QTc low. Among 64 patients with echocardiograms, 23 were classified as

conclusionIn conclusion, cirrhotic patients with SBP who present with a prolonged QTc interval are at a greater risk for acute renal failure during hospitalization. High QTc duration and an

Indexed as

ARF, acute renal failurecirrhotic cardiomyopathyCPS, Child–Pugh scorediastolic dysfunctionechocardiographyE/E′ ratioMELD, Model for End Stage Liver DiseaseQTcspontaneous bacterial peritonitis

Identifiers

PMID29234197
PMCPMC5715479
OpenAlexW2616436602

What OpenQuestion holds

Textmetadata
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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.