Evidence map›Paper›PMID 27848218›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2017

Evaluation of diagnostic and prognostic significance of Ki-67 index in pulmonary carcinoid tumours.

V Clay, G Papaxoinis, B Sanderson, J W Valle, M Howell, A Lamarca, P Krysiak, P Bishop, D Nonaka, W Mansoor

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Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
–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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. The use of Ki-67 labeling index to grade pulmonary well-differentiated neuroendocrine neoplasms: current best evidence.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2018
    Pooled it
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  14. Lung neuroendocrine neoplasms: recent progress and persistent challenges.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2022
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  19. Performance of Finnish biobanks in nationwide pulmonary carcinoid tumour research.Virchows Archiv : an international journal of pathology · 2020
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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

10 authors.

V ClayDepartment of Medical Oncology, The Christie NHS Foundation Trust, 550 Wilmslow Road, Manchester, M20 4BX, UK.
G PapaxoinisDepartment of Medical Oncology, The Christie NHS Foundation Trust, 550 Wilmslow Road, Manchester, M20 4BX, UK.
B SandersonDepartment of Medical Oncology, The Christie NHS Foundation Trust, 550 Wilmslow Road, Manchester, M20 4BX, UK.
J W ValleDepartment of Medical Oncology, The Christie NHS Foundation Trust, 550 Wilmslow Road, Manchester, M20 4BX, UK.
M HowellDepartment of Medical Oncology, The Christie NHS Foundation Trust, 550 Wilmslow Road, Manchester, M20 4BX, UK.
A LamarcaDepartment of Medical Oncology, The Christie NHS Foundation Trust, 550 Wilmslow Road, Manchester, M20 4BX, UK.
P KrysiakDepartment of Cardiothoracic Surgery, University Hospital of South Manchester, Manchester, M23 9LT, UK.
P BishopDepartment of Thoracic Pathology, University Hospital of South Manchester, Manchester, M23 9LT, UK.
D NonakaInstitute of Cancer Studies, University of Manchester, Manchester, UK.
W MansoorDepartment of Medical Oncology, The Christie NHS Foundation Trust, 550 Wilmslow Road, Manchester, M20 4BX, UK. Was.Mansoor@christie.nhs.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPulmonary carcinoid (PC) tumours are classified as either typical (TC) or atypical (AC) according to mitotic index (MI) and presence of necrosis. The aim of this study was to analyse the diagnostic and prognostic values of the Ki-67 index in PC. METHODS/PATIENTS: Between January 2001 and March 2015, we evaluated 94 consecutive patients with a confirmed diagnosis of TC (n = 75) or AC (n = 19) at our institution. Diagnostic histology was centrally reviewed by a local expert neuroendocrine pathologist, with assessment of Ki-67, MI, and necrosis.

resultsMedian patient follow-up was 35 months. Eighty-four patients who underwent curative surgical resection were included in the survival analysis for identification of prognostic factors. Ki-67 index showed high diagnostic accuracy to predict histological subtype when assessed by receiver operator characteristic curves with an area under the curve of 0.923 (95% CI 0.852-0.995, p < 0.001). Multivariate analysis showed that MI, Ki-67 index, and the presence or absence of necrosis were independent prognostic factors for relapse-free survival. Combination of MI, Ki-67, and necrosis led to the classification of patients into four different prognostic groups (very low, low, intermediate, and high risks of relapse).

conclusionsThe current study proposes the incorporation of Ki-67 index in the prognostic classification of PC tumours. Due to the limited number of patients and length of follow-up, the current model needs validation by larger cohort studies. Nevertheless, our results suggest that Ki-67 index and MI have continuous effect on prognosis. Prognostic models incorporating multiple cutoffs of Ki-67 and MI might better predict outcome and inform clinical decisions.

Indexed as

AdultAgedAged, 80 and overArea Under CurveBiomarkers, TumorCarcinoid TumorDisease-Free SurvivalFemaleHumansImmunohistochemistryKaplan-Meier EstimateKi-67 AntigenLung NeoplasmsMaleMiddle AgedMitotic IndexBiomarkers, TumorKi-67 AntigenAtypicalKi-67Neuroendocrine tumoursPrognosisPulmonary carcinoidsTypical

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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.