Evidence map›Paper›PMID 22677686›Full record

ArticleAmerican journal of nephrology2012

Patterns and predictors of early mortality in incident hemodialysis patients: new insights.

Lilia R Lukowsky, Leeka Kheifets, Onyebuchi A Arah, Allen R Nissenson, Kamyar Kalantar-Zadeh

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of nephrology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 2 pooled it
–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

67 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Review
  8. Article
  9. Observational
  10. Article
  11. Review
  12. Article
  13. Observational
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

7 more citing papers are in PubMed but not listed here.

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.

Lilia R LukowskyHarold Simmons Center for Chronic Disease Research and Epidemiology, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA 90509-2910, USA.
Leeka Kheifets
Onyebuchi A Arah
Allen R Nissenson
Kamyar Kalantar-Zadeh

Funding

MALNUTRITION, DIET AND RACIAL DISPARITIES IN CKDK24DK091419 · NIDDK · UNIVERSITY OF CALIFORNIA-IRVINE · PI KALANTAR-ZADEH, KAMYAR · 2011 to 2020
$1.8M
Examining Racial and Cardiovascular Paradoxes in Chronic Kidney DiseaseR01DK078106 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KALANTAR-ZADEH, KAMYAR · 2007 to 2011
$1.1M
Understanding Sources of Bias and Outcomes in Peritoneal Dialysis Patient ResearcR21DK077341 · NIDDK · LUNDQUIST INSTITUTE FOR BIOMEDICAL INNOVATION AT HARBOR-UCLA MEDICAL CENTER · PI KALANTAR-ZADEH, KAMYAR · 2009 to 2010
$409k
NIDDK NIH HHS K24 DK091419NIDDK NIH HHS R01 DK078106NIDDK NIH HHS R21 DK077341
6 · The paper itself

Abstract

backgroundIncident hemodialysis patients have the highest mortality in the first several months after starting dialysis treatments. We hypothesized that the patterns and risk factors associated with this early mortality differ from those in later dialysis therapy periods.

methodsWe examined mortality patterns and predictors during the first several months of hemodialysis treatment in 18,707 incident patients since the first week of hemodialysis therapy and estimated the population attributable fractions for selected time periods in the first 24 months.

resultsThe 18,707 incident hemodialysis patients were 45% women and 54% diabetics. The standardized mortality ratios (95% confidence interval) in the 1st to 3rd month of hemodialysis therapy were 1.81 (1.74-1.88), 1.79 (1.72-1.86), and 1.34 (1.27-1.40), respectively. The standardized mortality ratio reached prevalent mortality only by the 7th month. No survival advantage for African Americans existed in the first 6 months. Patients with low albumin <3.5 g/dl had the highest proportion of infection-related deaths while patients with higher albumin levels had higher cardiovascular deaths including 76% of deaths during the first 3 months. Use of catheter as vascular access and hypoalbuminemia <3.5 g/dl explained 34% (17-54%) and 33% (19-45%) of all deaths in the first 90 days, respectively.

conclusionsIncident hemodialysis patients have the highest mortality during the first 6 months including 80% higher death risk in the first 2 months. The presence of a central venous catheter and hypoalbuminemia <3.5 g/dl each explain one third of all deaths in the first 90 days.

Indexed as

AgedAged, 80 and overBlack or African AmericanCardiovascular DiseasesCatheterization, Central VenousFemaleHispanic or LatinoHumansInfectionsKaplan-Meier EstimateKidney Failure, ChronicMaleMiddle AgedMultivariate AnalysisProportional Hazards ModelsRenal Dialysis

Identifiers

PMID22677686
PMCPMC4587354

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.