Evidence map›Paper›PMID 42225735›Full record

ArticleScientific reports2026

Prognostic value of the aggregate index of systemic inflammation in palliative care patients.

Evren Ekingen, Mete Ucdal

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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.

No citing paper in PubMed yet.

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

2 authors.

Evren EkingenInternal Medicine Department, Etimesgut Şehit Sait Ertürk State Hospital, Ankara, Türkiye, Turkey.
Mete UcdalInternal Medicine Department, Etimesgut Şehit Sait Ertürk State Hospital, Ankara, Türkiye, Turkey. meteucdal@hacettepe.edu.tr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate prognostication remains essential for appropriate care planning in palliative care settings. The Aggregate Index of Systemic Inflammation (AISI) represents a comprehensive integration of four inflammatory cell populations, but its comparative prognostic value in palliative care has not been established. This retrospective cohort study analyzed 144 consecutive patients admitted to a palliative care unit between January 2020 and December 2024. We evaluated the prognostic performance of AISI, Systemic Inflammation Response Index (SIRI), Systemic Immune-Inflammation Index (SII), and Neutrophil-to-Lymphocyte Ratio (NLR) for predicting in-hospital mortality, intensive care unit admission, and mechanical ventilation requirement. Receiver operating characteristic curve analysis, multivariable Cox regression, and Kaplan-Meier survival analysis were performed. A total of 144 patients (mean age 75.4 ± 11.8 years; 85 male [59.0%]) were included. In-hospital mortality occurred in 99 patients (68.8%). AISI demonstrated the highest discriminatory capacity for mortality prediction with area under the curve 0.826 (95% CI: 0.754-0.898), significantly superior to NLR (0.734, p = 0.003) and SII (0.768, p = 0.042). Optimal AISI cutoff of 1850 yielded sensitivity 79.8% and specificity 77.8%. In multivariable analysis, AISI > 1850 remained the strongest independent mortality predictor (adjusted HR 4.38, 95% CI: 2.41-7.96, p < 0.001) after adjusting for established prognostic factors. Kaplan-Meier analysis revealed median survival of 9 days versus 35 days for patients with AISI > 1850 versus ≤ 1850 (log-rank p < 0.001). AISI also independently predicted intensive care unit admission (adjusted OR 3.96, 95% CI: 1.89-8.28, p < 0.001) and mechanical ventilation requirement (adjusted OR 4.15, 95% CI: 1.98-8.69, p < 0.001). AISI demonstrates superior prognostic value compared to conventional inflammatory markers in palliative care patients. This readily available, cost-effective biomarker enables robust risk stratification for mortality and critical care interventions. Integration of AISI into comprehensive prognostic assessments could enhance individualized care planning and optimize resource allocation in palliative care settings.

Indexed as

InflammationPalliative CareAgedAged, 80 and overFemaleHospital MortalityHumansIntensive Care UnitsKaplan-Meier EstimateLymphocytesMaleNeutrophilsPrognosisRetrospective StudiesROC CurveAggregate Index of Systemic InflammationInflammatory biomarkersmortality predictionpalliative carePrognosisSystemic Inflammation Response Index

Identifiers

PMID42225735
PMCPMC13462923

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.