Evidence map›Paper›PMID 36797357›Full record

ArticleBritish journal of cancer2023

Clinical outcome and prognostic factors for Asian patients in Phase I clinical trials.

Jerold Loh, Jiaxuan Wu, Jenny Chieng, Aurora Chan, Wei-Peng Yong, Raghav Sundar, Soo-Chin Lee, Andrea Wong, Joline S J Lim, David S P Tan and 4 more

Abstract readClinical Trial, Phase I
In one paragraph

Article in British journal of cancer, 2023. 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. Review
  3. Article
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

14 authors.

Jerold LohDepartment of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore.
Jiaxuan WuYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Jenny ChiengYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Aurora ChanNUS Saw Swee Hock School of Public Health, Singapore, Singapore.
Wei-Peng YongDepartment of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore.
Raghav SundarDepartment of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore.ORCID http://orcid.org/0000-0001-9423-1368
Soo-Chin LeeDepartment of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore.
Andrea WongDepartment of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore.
Joline S J LimDepartment of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore.ORCID http://orcid.org/0000-0001-8979-8597
David S P TanDepartment of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore.
Ross SooDepartment of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore.
Boon-Cher GohDepartment of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore.
Bee-Choo TaiNUS Saw Swee Hock School of Public Health, Singapore, Singapore.
Cheng E CheeDepartment of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore. mdccce@nus.edu.sg.ORCID http://orcid.org/0000-0003-2385-7712

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatient selection is key in Phase I studies, and prognosis can be difficult to estimate in heavily pre-treated patients. Previous prognostic models like the Royal Marsden Hospital (RMH) score or using the neutrophil-lymphocyte ratio (NLR) have not been validated in current novel therapies nor in the Asian Phase I population.

methodsWe conducted a retrospective review of 414 patients with solid tumours participating in Phase I studies at our centre between October 2013 and December 2020.

resultsThe RMH model showed poorer prognosis with increasing scores [RMH score 1, HR 1.28 (95% CI: 0.96-1.70); RMH score 2, HR 2.27 (95% CI: 1.62-3.17); RMH score 3, HR 4.14 (95% CI: 2.62-6.53)]. NLR did not improve the AUC of the model. Poorer ECOG status (ECOG 1 vs. 0: HR = 1.59 (95% CI = 1.24-2.04), P < 0.001) and primary tumour site (GI vs. breast cancer: HR = 3.06, 95% CI = 2.16-4.35, P < 0.001) were prognostic.

conclusionsWe developed a NCIS prognostic score with excellent prognostic ability for both short-term and longer-term survival (iAUC: 0.71 [95% CI 0.65-0.76]), and validated the RMH model in the largest Asian study to date.

Indexed as

Breast NeoplasmsFemaleHumansLymphocytesNeutrophilsPatient SelectionPrognosisRetrospective StudiesTreatment Outcome

Identifiers

PMID36797357
PMCPMC10070409

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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.