Evidence map›Paper›PMID 26629820›Full record

ArticlePloS one2015

The Gamma Gap and All-Cause Mortality.

Stephen P Juraschek, Alison R Moliterno, William Checkley, Edgar R Miller

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
  5. Article
  6. Review
  7. Association of serum globulin with all-cause mortality in incident hemodialysis patients.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Physical Activity and Cognitive Function among Older Adults with an Elevated Gamma Gap.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2018
    Article
  12. Article
  13. Article
  14. Nephrology key information for internists.Journal of community hospital internal medicine perspectives · 2017
    Article
  15. Article
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

4 authors at 2 institutions in 1 country.

Stephen P JuraschekDepartment of Epidemioloy, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Alison R MoliternoDivision of Hematology, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, United States of America.
William CheckleyDivision of Pulmonary and Critical Care Medicine, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, United States of America.
Edgar R MillerDepartment of Epidemioloy, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Johns Hopkins University · USJohns Hopkins Medicine · US

Funding

RENAL DISEASE EPIDEMIOLOGY TRAINING GRANTT32DK007732 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI CREWS, DEIDRA CANDICE · 1995 to 2024
$7.7M
NIDDK NIH HHS T32 DK007732NIDDK NIH HHS T32DK007732-20
6 · The paper itself

Abstract

backgroundThe difference between total serum protein and albumin, i.e. the gamma gap, is a frequently used clinical screening measure for both latent infection and malignancy. However, there are no studies defining a positive gamma gap. Further, whether it is an independent risk factor of mortality is unknown. METHODS AND

findingsThis study examined the association between gamma gap, all-cause mortality, and specific causes of death (cardiovascular, cancer, pulmonary, or other) in 12,260 participants of the National Health and Nutrition Examination Survey (NHANES) from 1999-2004. Participants had a comprehensive metabolic panel measured, which was linked with vital status data from the National Death Index. Cause of death was based on ICD10 codes from death certificates. Analyses were performed with Cox proportional hazards models adjusted for mortality risk factors. The mean (SE) age was 46 (0.3) years and the mean gamma gap was 3.0 (0.01) g/dl. The population was 52% women and 10% black. During a median follow-up period of 4.8 years (IQR: 3.3 to 6.2 years), there were 723 deaths. The unadjusted 5-year cumulative incidences across quartiles of the gamma gap (1.7-2.7, 2.8-3.0, 3.1-3.2, and 3.3-7.9 g/dl) were 5.7%, 4.2%, 5.5%, and 7.8%. After adjustment for risk factors, participants with a gamma gap of ≥3.1 g/dl had a 30% higher risk of death compared to participants with a gamma gap <3.1 g/dl (HR: 1.30; 95%CI: 1.08, 1.55; P = 0.006). Gamma gap (per 1.0 g/dl) was most strongly associated with death from pulmonary causes (HR 2.22; 95%CI: 1.19, 4.17; P = 0.01).

conclusionsThe gamma gap is an independent risk factor for all-cause mortality at values as low as 3.1 g/dl (in contrast to the traditional definition of 4.0 g/dl), and is strongly associated with death from pulmonary causes. Future studies should examine the biologic pathways underlying these associations.

Indexed as

AlbuminsBlood ProteinsCardiovascular DiseasesCause of DeathFemaleHumansIncidenceLung DiseasesMaleMiddle AgedMortalityNeoplasmsNutrition SurveysRisk FactorsUnited StatesAlbuminsBlood Proteins

Identifiers

PMID26629820
PMCPMC4668045
OpenAlexW2188527342

What OpenQuestion holds

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LicenceCC BY
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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.