Evidence map›Paper›PMID 35241462›Full record

SynthesisBMJ open2022

Utility of KI-67 as a prognostic biomarker in pulmonary neuroendocrine neoplasms: a systematic review and meta-analysis.

Salma Naheed, Chloe Holden, Lulu Tanno, Linda Pattini, Neil W Pearce, Bryan Green, Eleanor Jaynes, Judith Cave, Christian H Ottensmeier, Giuseppe Pelosi

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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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 at 4 institutions in 2 countries.

Salma NaheedLiverpool Head and Neck Centre, Department of Molecular & Clinical Cancer Medicine, Institute of Translational Medicine, University of Liverpool, Liverpool, UK s.naheed@soton.ac.uk.ORCID 0000-0002-2534-9976
Chloe HoldenDepartment of Oncology, Wessex NET Group ENETS Centre of Excellence, University Hospital Southampton NHS Foundation Trust, Southampton, UK.
Lulu TannoCancer Sciences Unit, NIHR and CRUK Experimental Cancer Medicine Center and NIHR Biomedical Research Center Southampton, University of Southampton Faculty of Medicine, Southampton, UK.
Linda PattiniDepartment of Electronics, Information and Bioengineering, Polytechnic of Milan, Milano, Lombardia, Italy.
Neil W PearceDepartment of Surgery, University Hospital Southampton NHS Foundation Trust, Southampton, UK.
Bryan GreenDepartment of Pathology, Wessex NET Group ENETS Centre of Excellence, University Hospital Southampton NHS Foundation Trust, Southampton, UK.
Eleanor JaynesDepartment of Cellular Pathology, Wessex NET Group ENETS Centre of Excellence, University Hospital Southampton NHS Foundation Trust, Southampton, UK.
Judith CaveDepartment of Oncology, Wessex NET Group ENETS Centre of Excellence, University Hospital Southampton NHS Foundation Trust, Southampton, UK.
Christian H OttensmeierCancer Sciences Unit, NIHR and CRUK Experimental Cancer Medicine Center and NIHR Biomedical Research Center Southampton, University of Southampton, Southampton, UK.
Giuseppe PelosiDepartment of Oncology and Hemato-Oncology, University of Milan, Milano, Lombardia, Italy.
University Hospital Southampton NHS Foundation Trust · GBNIHR CRUK Experimental Cancer Medicine Centre · GBUniversity of Liverpool · GBUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesKi-67, a marker of cellular proliferation, is associated with prognosis across a wide range of tumours, including gastroenteropancreatic neuroendocrine neoplasms (NENs), lymphoma, urothelial tumours and breast carcinomas. Its omission from the classification system of pulmonary NENs is controversial. This systematic review sought to assess whether Ki-67 is a prognostic biomarker in lung NENs and, if feasible, proceed to a meta-analysis. RESEARCH DESIGN AND

methodsMedline (Ovid), Embase, Scopus and the Cochrane library were searched for studies published prior to 28 February 2019 and investigating the role of Ki-67 in lung NENs. Eligible studies were those that included more than 20 patients and provided details of survival outcomes, namely, HRs with CIs according to Ki-67 percentage. Studies not available as a full text or without an English manuscript were excluded. This study was prospectively registered with PROSPERO.

resultsOf 11 814 records identified, seven studies met the inclusion criteria. These retrospective studies provided data for 1268 patients (693 TC, 281 AC, 94 large cell neuroendocrine carcinomas and 190 small cell lung carcinomas) and a meta-analysis was carried out to estimate a pooled effect. Random effects analyses demonstrated an association between a high Ki-67 index and poorer overall survival (HR of 2.02, 95% CI 1.16 to 3.52) and recurrence-free survival (HR 1.42; 95% CI 1.01 to 2.00).

conclusionThis meta-analysis provides evidence that high Ki-67 labelling indices are associated with poor clinical outcomes for patients diagnosed with pulmonary NENs. This study is subject to inherent limitations, but it does provide valuable insights regarding the use of the biomarker Ki-67, in a rare tumour. PROSPERO REGISTRATION NUMBER: CRD42018093389.

Indexed as

Carcinoma, NeuroendocrineLung NeoplasmsNeuroendocrine TumorsFemaleHumansKi-67 AntigenMalePrognosisRetrospective StudiesKi-67 AntigenMKI67 protein, humanendocrine tumourspathologyrespiratory tract tumours

Identifiers

PMID35241462
PMCPMC8895948
OpenAlexW4214870046

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.