Evidence map›Paper›PMID 42339082›Full record

Observational studyFrontiers in endocrinology2026

S-GRAS score and the complementary prognostic value of neutrophil-to-lymphocyte ratio in adrenocortical carcinoma: evidence for a synergistic interaction.

Erik Bényei, Gergely Huszty, András Laki, Zsuzsanna Jakab, Gergely Kiss, Attila Kristóf Kovács, Katalin Borka, Andrea Uhlyarik, Katalin Eitler, Peter Igaz and 2 more

Abstract readObservational Study
In one paragraph

Observational study in Frontiers in endocrinology, 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

12 authors.

Erik BényeiDepartment of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
Gergely HusztyDepartment of Surgery, Transplantation and Gastroenterology, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
András LakiDepartment of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
Zsuzsanna JakabDepartment of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
Gergely KissMedical Imaging Centre, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
Attila Kristóf KovácsDepartment of Pathology, Forensic and Insurance Medicine, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
Katalin BorkaDepartment of Pathology, Forensic and Insurance Medicine, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
Andrea UhlyarikDepartment of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
Katalin EitlerDepartment of Surgery, Transplantation and Gastroenterology, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
Peter IgazDepartment of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
Judit Tőke *Department of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
Miklós Tóth *Department of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study aimed to assess the prognostic values of the S-GRAS model and two of the most frequently used inflammation-based scores - neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) - and to characterise the potential interaction between the two measures. Patients and methods: In this single-centre, retrospective, observational cohort analysis, 67 adult patients with histologically confirmed adrenocortical carcinoma (ACC) were analysed. The S-GRAS score and the inflammation-based markers were evaluated using Kaplan-Meier survival analysis with log-rank tests, univariate and multivariate Cox proportional hazards regressions. Discriminative ability was assessed using Harrell's C-index, later compared with likelihood ratio tests. An interaction analysis was conducted by constructing a multivariate regression with mean-centred variables and their interaction term. Results: External validation on the S-GRAS scoring system demonstrated the superior discriminative ability of the model (C-index=0.765) compared to its constituents. Our sub-analysis on 42 patients identified NLR as a significant predictor of mortality (HR = 3.1; p=0.008), whilst PLR failed to reach statistical significance. Our interaction analysis revealed a significant synergistic interaction between S-GRAS and NLR (HR = 1.177, p=0.009). While both S-GRAS (C-index=0.803) and NLR (C-index=0.722) was found to be a significant predictor of survival, their joint application demonstrated superior prognostic discrimination (C-index=0.822) over their individual use (p=0.006 and p<0.001). Conclusions: NLR provides independent and complementary predictive value to the well-established S-GRAS score, and their combination offers superior discrimination over each marker alone. A synergistic interaction between the two metrics is the most prominent in high-risk patient groups. External validation confirms the prognostic robustness of the S-GRAS score.

Indexed as

Adrenal Cortex NeoplasmsAdrenocortical CarcinomaLymphocytesNeutrophilsAdultAgedFemaleHumansMaleMiddle AgedPrognosisRetrospective Studiesadrenocortical cancerinflammation-based scoreneutrophil-to-lymphocyte ratioplatelet-to-lymphocyte ratioprognostic modelS-GRAS score

Identifiers

PMID42339082
PMCPMC13283844

What Socratic 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 Socratic graph.