Evidence map›Paper›PMID 38558997›Full record

ArticleResearch square2024

Sex Bias in Prediction and Diagnosis of Cardiac Surgery Associated Acute Kidney Injury.

Sevag Demirjian, Anne Huml, Faisal Bakaeen, Emilio Poggio, Mariya Geube, Andrew Shaw, A Marc Gillinov, Crystal A Gadegbeku

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Sevag DemirjianCleveland Clinic.
Anne HumlCleveland Clinic.
Faisal BakaeenCleveland Clinic.
Emilio PoggioCleveland Clinic.
Mariya GeubeCleveland Clinic.
Andrew ShawCleveland Clinic.
A Marc GillinovCleveland Clinic.
Crystal A GadegbekuCleveland Clinic.
Cleveland Clinic · US

Funding

Cleveland COPE-AKI Clinical CenterU01DK129980 · NIDDK · CLEVELAND CLINIC LERNER COM-CWRU · PI Sevag Demirjian, ANNE Marie HUML · 2021 to 2026
$4.1M
NIDDK NIH HHS U01 DK129980
6 · The paper itself

Abstract

Background: Female sex has been recognized as a risk factor for cardiac surgery associated acute kidney injury (CS-AKI). The current study sought to evaluate whether female sex is a risk factor for CS-AKI, or modifies the association of peri-operative change in serum creatinine with CS-AKI. Methods: Observational study of adult patients undergoing cardiac surgery between 2000 and 2019 in a single U.S. center. The main variable of interest was registered patient sex, identified from electronic medical records. The main outcome was CS-AKI within 2 weeks of surgery. Results: Of 58526 patients, 19353 (33%) were female; 12934 (22%) incurred AKI based on ≥ 0.3 mg/dL or ≥ 50% rise in serum creatinine (any AKI), 3320 (5.7%) had moderate to severe AKI, and 1018 (1.7%) required dialysis within 2 weeks of surgery. Female sex was associated with higher risk for AKI in models that were based on preoperative serum creatinine (OR, 1.35; 95% CI, 1.29-1.42), and lower risk with the use of estimated glomerular filtration, (OR, 0.90; 95% CI, 0.86-0.95). The risk for moderate to severe CS-AKI for a given immediate peri-operative change in serum creatinine was higher in female compared to male patients (p < .0001 and p < .0001 for non-linearity), and the association was modified by pre-operative kidney function (p < .0001 for interaction). Conclusions: The association of patient sex with CS-AKI and its direction was dependent on the operational definition of pre-operative kidney function, and differential outcome misclassification due to AKI defined by absolute change in serum creatinine.

Indexed as

acute kidney injurybody surface areacardiac surgeryestimated glomerular filtration ratepatient sex

Identifiers

PMID38558997
PMCPMC10980107
OpenAlexW4392819006

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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.