Evidence map›Paper›PMID 40524925›Full record

ArticleERJ open research2025

External validation of the LENT and PROMISE prognostic scores for malignant pleural effusion.

Craig A Mounsey, Nikolaos I Kanellakis, Dinesh N Addala, Jamie A Mawhinney, Nick Freemantle, Najib M Rahman

Erratum issuedAbstract read
In one paragraph

Article in ERJ open research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Integrating pleural PD-1Frontiers in immunology · 2026
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Craig A MounseyOxford Pleural Unit, Oxford University Hospitals, Oxford, UK.ORCID https://orcid.org/0000-0001-5293-4786
Nikolaos I KanellakisOxford Pleural Unit, Oxford University Hospitals, Oxford, UK.ORCID https://orcid.org/0000-0002-0065-2282
Dinesh N AddalaOxford Pleural Unit, Oxford University Hospitals, Oxford, UK.
Jamie A MawhinneyPortsmouth Hospitals University NHS Trust, Portsmouth, UK.
Nick FreemantleInstitute of Clinical Trials and Methodology, University College, London, UK.
Najib M RahmanOxford Pleural Unit, Oxford University Hospitals, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Accurate survival estimation in malignant pleural effusion is essential to guide clinical management strategies and inform patient discussion. The LENT and PROMISE scores were developed to aid prognostication in malignant pleural effusion; however their uptake in practice has been limited. We aimed to conduct a detailed external validation of the LENT and PROMISE scores to develop recommendations regarding clinical utility, and to highlight factors limiting performance. Methods: Medical records of patients diagnosed with malignant pleural effusion between 2015-2023 at Oxford University Hospitals were retrospectively reviewed to determine length of survival and the LENT and PROMISE scores at diagnosis. Performance of the scores in predicting overall survival and chance of survival at 3, 6 and 12 months was assessed using measures of discrimination, calibration and overall model performance. Kaplan-Meier analysis and Cox models were utilised to further investigate individual score variables. Results: 773 patients with malignant pleural effusion were included. Both scores showed predictive ability for overall survival; however median survival estimates lacked precision. Score performance in predicting survival at 3, 6 and 12 months was stronger, with C-indices around 0.8 for both at each time point, and the models appearing well calibrated. Limited stratification of tumour types and lack of consideration of sensitising mutations were demonstrated to be potential factors restricting performance. Conclusions: Both scores have the ability to prognosticate in malignant pleural effusion, and greater use in practice should be considered. However, areas to improve score performance were also highlighted, and these may aid future model development.

Identifiers

PMID40524925
PMCPMC12168180

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