Evidence map›Paper›PMID 32055771›Full record

ReviewMayo Clinic proceedings. Innovations, quality & outcomes2020

Natriuretic Peptides to Predict Short-Term Mortality in Patients With Sepsis: A Systematic Review and Meta-analysis.

Saarwaani Vallabhajosyula, Zhen Wang, M Hassan Murad, Shashaank Vallabhajosyula, Pranathi R Sundaragiri, Kianoush Kashani, Wayne L Miller, Allan S Jaffe, Saraschandra Vallabhajosyula

Open access · goldAbstract readReview
In one paragraph

Review in Mayo Clinic proceedings. Innovations, quality & outcomes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
5.5field-weighted citation impact, top 3% 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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it, 54 citations in OpenAlex.

  1. Pooled it
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  3. Reporting of sex as a variable in cardiovascular studies using cultured cells: A systematic review.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2020
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  11. [Natriuretic peptides in intensive care medicine].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2023
    Review
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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

9 authors at 2 institutions in 1 country.

Saarwaani VallabhajosyulaDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
Zhen WangRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.
M Hassan MuradRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.
Shashaank VallabhajosyulaDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN.
Pranathi R SundaragiriDivision of Hospital Internal Medicine, Department of Medicine, Mayo Clinic, Rochester, MN.
Kianoush KashaniDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN.
Wayne L MillerDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
Allan S JaffeDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
Saraschandra VallabhajosyulaDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
Mayo Clinic in Arizona · USMayo Clinic · US

Funding

Mayo Clinic Center for Translational Science ActivitiesUL1TR000135 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$41.2M
NCATS NIH HHS UL1 TR000135
6 · The paper itself

Abstract

Data are conflicting regarding the optimal cutoffs of B-type natriuretic peptide (BNP) and N-terminal pro-B-type natriuretic peptide (NT-proBNP) to predict short-term mortality in patients with sepsis. We conducted a comprehensive search of several databases (MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, and Scopus) for English-language reports of studies evaluating adult patients with sepsis, severe sepsis, and septic shock with BNP/NT-proBNP levels and short-term mortality (intensive care unit, in-hospital, 28-day, or 30-day) published from January 1, 2000, to September 5, 2017. The average values in survivors and nonsurvivors were used to estimate the receiver operating characteristic curve (ROC) using a parametric regression model. Thirty-five observational studies (3508 patients) were included (median age, 51-75 years; 12%-74% males; cumulative mortality, 34.2%). A BNP of 622 pg/mL had the greatest discrimination for mortality (sensitivity, 0.695 [95% CI, 0.659-0.729]; specificity, 0.907 [95% CI, 0.810-1.003]; area under the ROC, 0.766 [95% CI, 0.734-0.797]). An NT-proBNP of 4000 pg/mL had the greatest discrimination for mortality (sensitivity, 0.728 [95% CI, 0.703-0.753]; specificity, 0.789 [95% CI, 0.710-0.867]; area under the ROC, 0.787 [95% CI, 0.766-0.809]). In prespecified subgroup analyses, identified BNP/NT-proBNP cutoffs had higher discrimination if specimens were obtained 24 hours or less after admission, in patients with severe sepsis/septic shock, in patients enrolled after 2010, and in studies performed in the United States and Europe. There was inconsistent adjustment for renal function. In this hypothesis-generating analysis, BNP and NT-proBNP cutoffs of 622 pg/mL and 4000 pg/mL optimally predicted short-term mortality in patients with sepsis. The applicability of these results is limited by the heterogeneity of included patient populations.

Indexed as

AUROC, area under the receiver operating characteristic curveBNP, B-type natriuretic peptideNT-proBNP, N-terminal pro-B-type natriuretic peptideROC, receiver operating characteristic curveSn, sensitivitySp, specificity

Identifiers

PMID32055771
PMCPMC7011015
OpenAlexW2998811172

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.