Evidence map›Paper›PMID 38415861›Full record

ArticleThe Journal of clinical endocrinology and metabolism2024

Modified Histopathological Grading Optimizes Prediction of Survival Outcomes in Small Intestinal Neuroendocrine Tumors.

Kosmas Daskalakis, Marina Tsoli, Göran Wallin, Angelika Kogut, Raj Srirajaskanthan, Christopher Harlow, Georgios Giovos, Martin O Weickert, Beata Kos-Kudla, Gregory Kaltsas

Abstract readMulticenter Study
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

10 authors.

Kosmas DaskalakisDepartment of Surgery, Faculty of Medicine and Health, Örebro University, 703 62 Örebro, Sweden.ORCID 0000-0003-4224-8912
Marina TsoliEndocrine Oncology Unit, 1st Department of Propaedeutic Internal Medicine, Laiko Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece.
Göran WallinSecond Department of Surgery, "Korgialenio-Benakio," Red Cross General Hospital, 11526 Athens, Greece.
Angelika KogutDepartment of Endocrinology and Neuroendocrine Neoplasms, Department of Endocrinology and Pathophysiology, Medical University of Silesia, Katowice 40-055, Poland.
Raj SrirajaskanthanENETS Centre of Excellence, Neuroendocrine Tumor Unit, King's College Hospital, London, SE5 9RS, UK.
Christopher HarlowDepartment of Gastroenterology, King's College Hospital, London, SE5 9RS, UK.
Georgios GiovosThe ARDEN NET Centre, European Neuroendocrine Tumor Society (ENETS) Centre of Excellence (CoE), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, CV2 DX, UK.
Martin O WeickertThe ARDEN NET Centre, European Neuroendocrine Tumor Society (ENETS) Centre of Excellence (CoE), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, CV2 DX, UK.
Beata Kos-KudlaDepartment of Endocrinology and Neuroendocrine Neoplasms, Department of Endocrinology and Pathophysiology, Medical University of Silesia, Katowice 40-055, Poland.
Gregory KaltsasEndocrine Oncology Unit, 1st Department of Propaedeutic Internal Medicine, Laiko Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextOne of the major prognostic indices in neuroendocrine tumors (NETs) is Ki67 proliferation index.

objectiveTo identify optimal grading Ki67 cutoffs to delineate differences in prognosis of patients with small intestinal NETs (SI-NETs).

methodsMulticenter retrospective cohort analysis of 551 SI-NET patients diagnosed from 1993 through 2021 at 5 European referral centers with a mean (±SD) follow-up time of 51.5 (±52.9) months, measuring rates of overall survival (OS) and event-free survival (EFS).

resultsMedian age at baseline was 62.3 (range, 17-90) years; 252 (45.7%) patients were female. All SI-NETs were well-differentiated, with 326 being grade 1 (G1; 59.2%), 169 G2 (30.7%), and 8 G3 (1.5), while 48 tumors were unspecified grade (8.7%). The median Ki67 was 2% (range, 1%-70%). At baseline, 247 (44.8%) patients had distant metastases (stage IV), 217 locoregional disease (41.1%; stage III), while 29 (7.1%) and 25 (4.5%) presented at stages II and I, respectively. Median OS was 214.7 (95% CI, 152.7-276.6) months and median EFS was 79.8 (68.2-91.5) months. In multivariable Cox-regression OS analysis, the proposed modified histopathological Ki67 grading system (Ki67 5%-10% group: HR = 2.2 [95% CI, 1.15-4.31], P = .018 and Ki67 ≥ 10% group: HR = 5.11 [2.87-9.09], P < .001), age (HR = 1.07 [1.04-1.09], P < .001), Charlson Comorbidity Index (HR = 1.08 [1-1.16], P = .028), and TNM stage (HR = 1.79 [1.05-3.06], P = .034) were independent predictors for death. Pertinent EFS analysis confirmed the proposed modified histopathological Ki67 grading system (Ki67 ≥ 10% group: HR = 4.01 [2.6-6.37], P < .001) and age (HR = 1.04 [1.02-1.05], P < .001) as independent predictors for recurrence, progression, and/or death.

conclusionKi67 proliferation index was a strong and independent predictor of OS and EFS. A modified histopathological grading system applying Ki67 cutoffs of 5% and 10% could be superior to predict differences in SI-NET patient survival outcomes.

Indexed as

Intestinal NeoplasmsIntestine, SmallKi-67 AntigenNeoplasm GradingNeuroendocrine TumorsAdolescentAdultAgedAged, 80 and overBiomarkers, TumorFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisBiomarkers, TumorKi-67 AntigenMKI67 protein, humanhistopathological gradingsmall intestinal neuroendocrine tumors

Identifiers

PMID38415861
PMCPMC11570380

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.