Evidence map›Paper›PMID 31940353›Full record

ArticlePloS one2020

Gamma gap thresholds and HIV, hepatitis C, and monoclonal gammopathy.

Gigi Y Liu, Olive Tang, Daniel J Brotman, Edgar R Miller, Alison R Moliterno, Stephen P Juraschek

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

6 authors.

Gigi Y LiuDivision of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.ORCID 0000-0002-6407-1874
Olive TangThe Johns Hopkins Bloomberg School of Public Health Department of Epidemiology, and The Welch Center for Prevention, Epidemiology and Clinical Research, Baltimore, Maryland, United States of America.
Daniel J BrotmanDivision of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Edgar R MillerDivision of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Alison R MoliternoDivision of Hematology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Stephen P JuraschekDivision of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007309 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI COX, ANDREA L · 1985 to 2019
$43.2M
Vitamin D, Subclinical Cardiovascular Disease, and Orthostatic Hypotension in Older AdultsK23HL135273 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI JURASCHEK, STEPHEN P · 2017 to 2021
$1.1M
Racial disparities in diabetes- and prediabetes-associated outcomes in older adultsF30DK120160 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI TANG, OLIVE · 2018 to 2020
$145k
NHLBI NIH HHS K23 HL135273NIDDK NIH HHS F30 DK120160NIGMS NIH HHS T32 GM007309
6 · The paper itself

Abstract

backgroundAn elevated gamma gap (>4 g/dL), the difference between serum total protein and albumin, can trigger testing for chronic infections or monoclonal gammopathy, despite a lack of evidence supporting this clinical threshold.

methodsUsing the National Health and Nutrition Examination Survey (NHANES) 1999-2014, gamma gap was derived in three subpopulations based on availability of testing for human immunodeficiency virus (HIV; N = 25,680), hepatitis C (HCV; N = 45,134), and monoclonal gammopathy of unknown significance (MGUS; N = 6,118). Disease status was confirmed by HIV antibody and Western blot, HCV RNA test, or electrophoresis with immunofixation. Sensitivity, specificity, and likelihood ratios were calculated for different gamma gap thresholds. Area under the curve (AUC) was used to assess performance and cubic splines were used to characterize the relationship between the gamma gap and each disease.

resultsMean gamma gaps of participants with HIV, HCV, or MGUS ranged from 3.4-3.8 g/dL. The AUC was 0.80 (95%CI: 0.75,0.85) for HIV, 0.74 (0.72,0.76) for HCV, and 0.64 (0.60,0.69) for MGUS. An elevated gamma gap of over 4 g/dL corresponded to sensitivities of 39.3%, 19.0%, and 15.4% and specificities of 98.4%, 97.8%, and 95.4% for HIV, HCV, and MGUS, respectively. A higher prevalence of all three diseases was observed at both low and high gamma gaps. DISCUSSION: An elevated gamma gap of 4 g/dL is insensitive for HIV, HCV, or MGUS, but has a high specificity for HIV and HCV, suggesting that the absence of an elevated gamma gap does not rule out HIV, HCV, or MGUS. Conversely, an elevated gap may justify further testing for HIV and HCV, but does not justify electrophoresis in the absence of additional clinical information.

Indexed as

Blood ProteinsSerum AlbuminAdultAgedFemaleHepacivirusHepatitis CHIVHIV InfectionsHumansMaleMiddle AgedMonoclonal Gammopathy of Undetermined SignificanceBlood ProteinsSerum Albumin

Identifiers

PMID31940353
PMCPMC6961927

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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.