Evidence map›Paper›PMID 27349632›Full record

ArticleNursing outlook

National Institutes of Health Symptom Science Model sheds light on patient symptoms.

Ann K Cashion, Jessica Gill, Rebecca Hawes, Wendy A Henderson, Leorey Saligan

Abstract read
In one paragraph

Article in Nursing outlook. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 7% 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

50 citing papers in PubMed, 2 syntheses or guidelines pooled it, 80 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Ann K CashionDivision of Intramural Research, Department of Health and Human Services, National Institute of Nursing Research, National Institutes of Health, Bethesda, MD. Electronic address: Ann.cashion@nih.gov.
Jessica GillDivision of Intramural Research, Department of Health and Human Services, National Institute of Nursing Research, National Institutes of Health, Bethesda, MD.
Rebecca HawesDivision of Science Policy and Public Liaison, Department of Health and Human Services, National Institute of Nursing Research, National Institutes of Health, Bethesda, MD.
Wendy A HendersonDivision of Intramural Research, Department of Health and Human Services, National Institute of Nursing Research, National Institutes of Health, Bethesda, MD.
Leorey SaliganDivision of Intramural Research, Department of Health and Human Services, National Institute of Nursing Research, National Institutes of Health, Bethesda, MD.
National Institutes of Health · US

Funding

Investigating Molecular-Genetic Correlates of FatigueZIANR000019 · NINR · NATIONAL INSTITUTE OF NURSING RESEARCH · PI SALIGAN, LEOREY · 2010 to 2025
$12.8M
Biomarkers to Predict Patient Outcomes and Guide TherapiesZIANR000030 · NINR · NATIONAL INSTITUTE OF NURSING RESEARCH · PI CASHION, ANN · 2014 to 2019
$10.0M
Symptom Distress Mechanisms in Digestive DisordersZIANR000018 · NINR · NATIONAL INSTITUTE OF NURSING RESEARCH · PI HENDERSON, WENDY · 2009 to 2019
$5.2M
Traumatic Brain Injury and Sleep Disorders in Military PersonnelZIANR000027 · NINR · NATIONAL INSTITUTE OF NURSING RESEARCH · PI GILL, JESSICA · 2013 to 2021
$4.8M
Experimental Therapeutics for Chronic Pain and Symptoms ManagementZIANR000013 · NINR · NATIONAL INSTITUTE OF NURSING RESEARCH · PI SALIGAN, LEOREY · 2009 to 2012
$2.1M
Psychobiologic Resilience to TraumaZIANR000017 · NINR · NATIONAL INSTITUTE OF NURSING RESEARCH · PI GILL, JESSICA · 2009 to 2009
$11k
Intramural NIH HHS Z99 NR999999Intramural NIH HHS ZIA NR000013Intramural NIH HHS ZIA NR000017Intramural NIH HHS ZIA NR000018Intramural NIH HHS ZIA NR000030NINR NIH HHS ZIA NR000019NINR NIH HHS ZIA NR000027
6 · The paper itself

Abstract

Since the establishment of the nursing profession, identifying and alleviating the subjective symptoms experienced by patients has been at the core of nursing practice. In supporting the scientific foundation for clinical practice, nursing science has maintained a consistent commitment to prevent, manage, and eliminate symptoms. Scientists from the intramural research program at the National Institute of Nursing Research (NINR), a component of the National Institutes of Health, developed a National Institutes of Health Symptom Science Model (NIH-SSM) to guide symptom science research programs engaged in the use of emerging "omic" methods such as the genotyping of symptom phenotypes. The NIH-SSM was developed based on the NINR intramural research program's success in designing and implementing methods for examining identified symptoms or symptom clusters. The NIH-SSM identifies the research process of characterizing symptom phenotypes, identifying and testing biomarkers, and ultimately developing clinical interventions in cancer-related fatigue, gastrointestinal disorders, and traumatic brain injuries. The purpose of this article was to demonstrate how scientists can apply the NIH-SSM, leading the broader scientific community in advancing personalized and precise clinical interventions.

Indexed as

Models, NursingSymptom AssessmentHumansNational Institute of Nursing Research (U.S.)National Institutes of Health (U.S.)United StatesBiomarkersGenotypeModelPhenotypeResearchSymptom science

Identifiers

PMID27349632
PMCPMC5014584
OpenAlexW2402086368

What OpenQuestion holds

Textmetadata
LicenceTDM
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.