Evidence map›Paper›PMID 25995131›Full record

ArticleScientific reports2015

Chronic kidney disease is associated with a higher 90-day mortality than other chronic medical conditions in patients with sepsis.

Ashham Mansur, Evelyn Mulwande, Maximilian Steinau, Ingo Bergmann, Aron Frederik Popov, Michael Ghadimi, Tim Beissbarth, Martin Bauer, José Hinz

Registry-linked trialAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05887960 (Impact of Neutrophil Lymphocyte and Monocyte Lymphocyte Ratio on Chronic Kidney Disease Patients Outcome), which is not on this map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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.

NCT05887960 unknown statusnot on this mapstarted 2023, after this paper: background citation

Impact of Neutrophil Lymphocyte and Monocyte Lymphocyte Ratio on Chronic Kidney Disease Patients Outcome

Typeobservational_patient_registrySponsorAssiut UniversityRan2023 to 2024Enrolled200ConditionsHemodialysis ComplicationArmsCBC and flow cytometry test for monocyte
3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
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  5. Reproducible Identification of Staphylococcus aureus Bacteremia Clinical Subphenotypes.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Observational
  6. Article
  7. Article
  8. 'Southern African journal of infectious diseases · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
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  20. Observational
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

9 authors.

Ashham MansurDepartment of Anesthesiology, University Medical Center, Georg August University, Robert-Koch-Str.40, D-37075 Goettingen, Germany.
Evelyn MulwandeDepartment of Anesthesiology, University Medical Center, Georg August University, Robert-Koch-Str.40, D-37075 Goettingen, Germany.
Maximilian SteinauDepartment of Anesthesiology, University Medical Center, Georg August University, Robert-Koch-Str.40, D-37075 Goettingen, Germany.
Ingo BergmannDepartment of Anesthesiology, University Medical Center, Georg August University, Robert-Koch-Str.40, D-37075 Goettingen, Germany.
Aron Frederik PopovDepartment of Cardiothoracic Transplantation &Mechanical Support, Royal Brompton and Harefield Hospital, Harefield, Hill End Road, UB9 6JH London, United Kingdom.
Michael GhadimiDepartment of General and Visceral Surgery, University Medical Center, Georg August University, D-37075 Goettingen, Germany.
Tim BeissbarthDepartment of Medical Statistics, University Medical Center, Georg August University, Robert-Koch-Str.40, D-37075 Goettingen, Germany.
Martin BauerDepartment of Anesthesiology, University Medical Center, Georg August University, Robert-Koch-Str.40, D-37075 Goettingen, Germany.
José HinzDepartment of Anesthesiology, University Medical Center, Georg August University, Robert-Koch-Str.40, D-37075 Goettingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

According to previous studies, the clinical course of sepsis could be affected by preexisting medical conditions, which are very common among patients with sepsis. This observational study aimed at investigating whether common chronic medical conditions affect the 90-day mortality risk in adult Caucasian patients with sepsis. A total of 482 patients with sepsis were enrolled in this study. The ninety-day mortality was the primary outcome; organ failure was the secondary outcome. Sepsis-related organ failure assessment (SOFA) scores and the requirements for organ support were evaluated to assess organ failure. A multivariate Cox regression model for the association between the 90-day mortality risk and chronic preexisting medical conditions adjusted for all relevant confounders and mortality predictors revealed the highest hazard ratio for patients with chronic kidney disease (CKD) (hazard ratio, 2.25; 95% CI, 1.46-3.46; p = 0.0002). Patients with CKD had higher SOFA scores than patients without CKD (8.9 ± 4.0 and 6.5 ± 3.4, respectively; p < 0.0001). Additionally, an analysis of organ-specific SOFA scores revealed higher scores in three organ systems (kidney, cardiovascular and coagulation). Patients with CKD have the highest 90-day mortality risk compared with patients without CKD or with other chronic medical conditions.

Indexed as

AdultAgedAged, 80 and overDemographyFemaleHumansIntensive Care UnitsKaplan-Meier EstimateMaleMiddle AgedMultiple Organ FailureProportional Hazards ModelsRenal Insufficiency, ChronicRisk FactorsSepsisSeverity of Illness Index

Identifiers

PMID25995131
PMCPMC4650757

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Registered trials

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.