Evidence map›Paper›PMID 33144442›Full record

ArticleIn vivo (Athens, Greece)

The Systemic Immune-Inflammation Index Predicts Clinical Outcomes in Kidney Transplant Recipients.

Samantha E Halpern, Dimitrios Moris, Brian I Shaw, Madison K Krischak, Danae G Olaso, Samuel J Kesseli, Kadiyala Ravindra, Lisa M McElroy, Andrew S Barbas

Open access · diamondAbstract read
In one paragraph

Article in In vivo (Athens, Greece). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

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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 at 1 institution in 1 country.

Samantha E HalpernSchool of Medicine, Duke University, Durham, NC, U.S.A.
Dimitrios MorisDepartment of Surgery, Duke University Medical Center, Durham, NC, U.S.A. dimitrios.moris@duke.edu.
Brian I ShawDepartment of Surgery, Duke University Medical Center, Durham, NC, U.S.A.
Madison K KrischakSchool of Medicine, Duke University, Durham, NC, U.S.A.
Danae G OlasoSchool of Medicine, Duke University, Durham, NC, U.S.A.
Samuel J KesseliDepartment of Surgery, Duke University Medical Center, Durham, NC, U.S.A.
Kadiyala RavindraDepartment of Surgery, Duke University Medical Center, Durham, NC, U.S.A.
Lisa M McElroyDepartment of Surgery, Duke University Medical Center, Durham, NC, U.S.A.
Andrew S BarbasDepartment of Surgery, Duke University Medical Center, Durham, NC, U.S.A.
Duke University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOutcomes after kidney transplantation (KTx) remain limited by delayed graft function (DGF) and acute rejection. Non-invasive biomarkers may help identify patients at increased risk for these events. We examined the association between the systemic immune-inflammation index (SII), a novel inflammatory biomarker, and outcomes after KTx and evaluated its ability to predict post-transplant prognosis. PATIENTS AND

methodsAdult patients who underwent primary KTx at our institution between 2016-2019 were included. SII was calculated from pre-transplant complete blood counts as the ratio of the neutrophil count to the lymphocyte count multiplied by the platelet count. The cutoff between high and low SII was determined by maximizing the area under the curve. Multivariable logistic and Cox regression were used to identify factors associated with DGF and patient, rejection-free, and graft survival respectively.

resultsOverall, 378 KTx recipients were included; 224 (59.3%) had high SII. On unadjusted analysis, high SII was associated with reduced odds of DGF, and improved patient and rejection-free survival. After adjustment, high SII was independently associated with improved patient survival alone. Multivariable models incorporating SII performed well for the prediction of DGF (c-statistic=0.755) and patient survival (c-statistic=0.786), though rejection-free survival was more difficult to predict (c-statistic=0.635).

conclusionSII demonstrated limited utility as an independent predictor of outcomes after KTx. However, in combination with other clinically relevant parameters, SII is a useful predictor of post-KTx prognosis. Validation of this novel inflammatory biomarker in a multi-institutional study is needed to further elucidate its practical applications in transplantation.

Indexed as

Kidney TransplantationAdultHumansInflammationLymphocyte CountNeutrophilsPrognosisRetrospective Studiesacute rejectionbiomarkersdelayed graft functionkidney transplantationSystemic immune-inflammation index

Identifiers

PMID33144442
PMCPMC7811637
OpenAlexW3095651447

What OpenQuestion holds

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Read underepoch 390

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.