Review in Biological research for nursing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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.
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
12 authors.
Ana F DialloInstitute of Inclusion, Inquiry & Innovation (iCubed), Family and Community Health Nursing, School of Nursing, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0003-1547-2062
Mark B LockwoodDepartment of Biobehavioral Health Science, College of Nursing, University of Illinois at Chicago, Chicago, IL, USA.
Katherine A MakiDepartment of Biobehavioral Health Science, College of Nursing, University of Illinois at Chicago, Chicago, IL, USA.ORCID 0000-0003-4578-960X
Alexis T FranksSensory Science & Metabolism Unit, Biobehavioral Branch, Division of Intramural Research, 2511National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA.ORCID 0000-0002-0550-334X
Abhrarup RoySensory Science & Metabolism Unit, Biobehavioral Branch, Division of Intramural Research, 2511National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA.
Rosario Jaime-LaraSensory Science & Metabolism Unit, Biobehavioral Branch, Division of Intramural Research, 2511National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA.ORCID 0000-0002-5726-7529
Paule V JosephSensory Science & Metabolism Unit, Biobehavioral Branch, Division of Intramural Research, 2511National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA.ORCID 0000-0002-1198-9622
Wendy A HendersonDigestive Disorders Unit, Biobehavioral Branch, Division of Intramural Research, 2511National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA.ORCID 0000-0003-3924-7118
Seon Yoon ChungSchool of Nursing, University of Maryland, Baltimore, MD, USA.
Jacqueline McGrathSchool of Nursing, University of Texas Health Science Center, San Antonio, TX, USA.
Stefan J GreenSequencing Core, Research Resources Center, 14681University of Illinois at Chicago, Chicago, IL, USA.ORCID 0000-0003-2781-359X
Anne M FinkDepartment of Biobehavioral Health Science, College of Nursing, University of Illinois at Chicago, Chicago, IL, USA.
Funding
Sensory Science and Metabolism; Molecular and Neuronal MechanismsZIANR000035 · NINR · NATIONAL INSTITUTE OF NURSING RESEARCH · PI JOSEPH, PAULE · 2018 to 2020
$1.7M
Changes in Oral and Gut Microbiota and Incidence and Severity of Patient-Reported Symptoms in Pre- and Post-Kidney Transplant PatientsK23NR018482 · NINR · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LOCKWOOD, MARK · 2019 to 2021
The quantification of metabolites in blood and urine allows nurses to explore new hypotheses about the microbiome. This review summarizes findings from recent studies with a focus on how the state of the science can influence future nursing research initiatives. Metabolomics can advance nursing research by identifying physiologic/pathophysiologic processes underlying patients' symptoms and can be useful for testing the effects of nursing interventions. To date, metabolomics has been used to study cardiovascular, respiratory, endocrine, autoimmune, and infectious conditions, with research focused on understanding the microbial metabolism of substrates resulting in circulating/excreted biomarkers such as trimethylamine N-oxide. This review provides specific recommendations for the collection of specimens and goals for future studies.
Indexed as
MetabolomicsAdultAgedAged, 80 and overBiomarkersFemaleGastrointestinal MicrobiomeHumansMaleMiddle AgedBiomarkersbloodcardiovasculardiabetesmetabolomicsmicrobiomenursingtrimethylamine n-oxideurine
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.
Metabolic Profiling of Blood and Urine for Exploring the Functional Role of the Microbiota in Human Health. · full record | OpenQuestion