Evidence map›Paper›PMID 28391310›Full record

ArticleNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2017

Association of serum albumin level and venous thromboembolic events in a large cohort of patients with nephrotic syndrome.

Geeta Gyamlani, Miklos Z Molnar, Jun L Lu, Keiichi Sumida, Kamyar Kalantar-Zadeh, Csaba P Kovesdy

Open access · hybridAbstract read
In one paragraph

Article in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
3.5field-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, 1 synthesis or guideline pooled it, 91 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Serum albumin, genetic susceptibility, and risk of venous thromboembolism.Research and practice in thrombosis and haemostasis · 2024
    Article
  20. 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

6 authors at 3 institutions in 1 country.

Geeta GyamlaniNephrology Section, Memphis Veterans Affairs Medical Center, Memphis, TN, USA.
Miklos Z MolnarDivision of Nephrology, University of Tennessee Health Science Center, Memphis, TN, USA.
Jun L LuDivision of Nephrology, University of Tennessee Health Science Center, Memphis, TN, USA.
Keiichi SumidaDivision of Nephrology, University of Tennessee Health Science Center, Memphis, TN, USA.
Kamyar Kalantar-ZadehDivision of Nephrology, University of California, Irvine, CA, USA.
Csaba P KovesdyNephrology Section, Memphis Veterans Affairs Medical Center, Memphis, TN, USA.
University of Tennessee Health Science Center · USMemphis VA Medical Center · USUniversity of California, Irvine · US

Funding

Racial and Cardiovascular Risk Factor Anomalies in CKDR01DK096920 · NIDDK · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI KALANTAR-ZADEH, KAMYAR, KOVESDY, CSABA PAL · 2013 to 2015
$909k
Improving Analysis of Endogenous Multimodal Treatments for Use in Geriatrics Health Outcomes StudiesI01HX002237 · VA · VA BOSTON HEALTH CARE SYSTEM · PI GARRIDO, MELISSA M · 2018 to 2021
–
HSRD VA SDR 02-237NIDDK NIH HHS R01 DK096920
6 · The paper itself

Abstract

Background: Prior small studies have suggested an association between low serum albumin and increased risk of venous thromboembolic (VTE) events in patients with nephrotic syndrome (NS). Methods: From a nationally representative prospective cohort of over 3 million US veterans with baseline estimated glomerular filtration rate (eGFR) ≥60 mL/min/1.73 m 2 , we identified 7037 patients with NS based on ICD-9 codes. Association between serum albumin and risk of incident VTE was assessed using Cox regression analysis with adjustments for age, gender, race, comorbidities, eGFR, body mass index and anticoagulant treatment. Results: Mean age was 57 ± 11 years, patients were 96% male, 32% African-American and 60% diabetic. There were a total of 158 VTE events over a median follow-up of 8.1 years; 16 events [absolute event rate (AER) 4.1%, event rate 8.5/1000 patient-years (PY)] in patients with albumin <2.5 g/dL, 18 events (AER 3.4%, event rate 5.7/1000 patient-years) in patients with albumin 2.5-2.99 g/dL, 89 events (AER 2.5%, event rate 3.4/1000 patient-years) in patients with albumin 3-3.99 g/dL and 35 events (AER 1.4%, event rate 1.9/1000 patient-years) in patients with albumin ≥4 g/dL. Compared with patients with albumin ≥4 g/dL, those with albumin levels of 3-3.99 g/dL [adjusted hazard ratio (HR): 1.51, 95% confidence interval (CI): 1.01-2.26], 2.5-2.99 g/dL (HR: 2.24, 95% CI: 1.24-4.05) and <2.5 g/dL (HR: 2.79, 95% CI: 1.45-5.37) experienced a linearly higher risk of VTE events. Conclusions: Lower serum albumin is a strong independent predictor for VTE events in NS. The risk increases proportionately with declining albumin levels. Clinical trials are needed to determine benefit of prophylactic anticoagulation in NS patients with moderately lower serum albumin levels.

Indexed as

AgedAnticoagulantsFemaleGlomerular Filtration RateHumansMaleMiddle AgedNephrotic SyndromeProspective StudiesRisk FactorsSerum AlbuminVenous ThromboembolismAnticoagulantsSerum Albumincohortnephrotic syndromerisk factorsserum albuminvenous thromboembolism

Identifiers

PMID28391310
PMCPMC6251635
OpenAlexW2587539628

What OpenQuestion holds

Textmetadata
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.