Evidence map›Paper›PMID 37444532›Full record

ArticleCancers2023

Evaluation of Efficacy of ALK Inhibitors According to Body Mass Index in ALK Rearranged NSCLC Patients-A Retrospective Observational Study.

Marco Siringo, Gabriella Gentile, Salvatore Caponnetto, Isabella Sperduti, Daniele Santini, Enrico Cortesi, Alain Jonathan Gelibter

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Alectinib continuation beyond progression inTranslational lung cancer research · 2024
    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

7 authors at 2 institutions in 2 countries.

Marco SiringoMedical Oncology Unit B, Department of Radiology, Oncology and Pathology, Policlinico Umberto I, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0000-0002-0489-1790
Gabriella GentileMedical Oncology Unit B, Department of Radiology, Oncology and Pathology, Policlinico Umberto I, Sapienza University of Rome, 00161 Rome, Italy.
Salvatore CaponnettoMedical Oncology Unit B, Department of Radiology, Oncology and Pathology, Policlinico Umberto I, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0000-0003-2906-449X
Isabella SperdutiDepartment of Biostatistics Unit, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.
Daniele SantiniMedical Oncology Unit A, Department of Radiology, Oncology and Pathology, Policlinico Umberto I, Sapienza University of Rome, 00161 Rome, Italy.
Enrico CortesiMedical Oncology Unit B, Department of Radiology, Oncology and Pathology, Policlinico Umberto I, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0000-0002-8671-0155
Alain Jonathan GelibterMedical Oncology Unit B, Department of Radiology, Oncology and Pathology, Policlinico Umberto I, Sapienza University of Rome, 00161 Rome, Italy.
Policlinico Umberto I · ITIstituti di Ricovero e Cura a Carattere Scientifico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

No evidence exists as to whether body mass index (BMI) impairs clinical outcomes from ALK inhibitors (ALKi) in patients with ALK-rearranged non-small cell lung cancer (NSCLC). Retrospective data of patients affected by metastatic ALK-rearranged NSCLC treated with ALKi were collected. We divided patients into "low- BMI" (≤25 kg/m

Indexed as

AlectinibALKBMINSCLCpredictive biomarker

Identifiers

PMID37444532
PMCPMC10340506
OpenAlexW4382787745

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.