Evidence map›Paper›PMID 36340797›Full record

ArticleJTO clinical and research reports2022

Frailty Is Associated With Adverse Postoperative Outcomes After Lung Cancer Resection.

Andy Chao Hsuan Lee, Sang Mee Lee, Mark K Ferguson

Open access · goldAbstract read
In one paragraph

Article in JTO clinical and research reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Andy Chao Hsuan LeeSection of Thoracic Surgery, Department of Surgery, University of Chicago, Chicago, Illinois.
Sang Mee LeeDepartment of Public Health Sciences, University of Chicago, Chicago, Illinois.
Mark K FergusonSection of Thoracic Surgery, Department of Surgery, University of Chicago, Chicago, Illinois.
University of Chicago · USChicago Department of Public Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Frailty is an important predictor of outcomes after noncardiac surgery. The 5-factor Modified Frailty Index (mFI-5) is a recently developed frailty metric that has not been adequately evaluated in relation to surgical therapy for lung cancer. We evaluated whether the mFI-5 is predictive of clinical and administrative outcomes after anatomical lung resection for cancer. Methods: Data in the Society of Thoracic Surgeons Database were used to evaluate the relationship of mFI-5 to outcomes of patients undergoing elective anatomical lung resection for cancer from 2015 to 2018 using logistic regression analyses. Results were compared with validated risk predictors, including the American Society of Anesthesiologists Physical Status Classification and the Charlson Comorbidity Index. Results: The mFI-5 score could be calculated for 36,587 patients. On univariate analyses, mFI-5 was significantly associated with all clinical and administrative outcomes in an incremental pattern ( Conclusions: The mFI-5 is independently predictive of almost all outcomes after lung resection for cancer. It can be calculated from data typically collected for thoracic surgical patients. Assessment of surgical candidates using mFI-5 may be useful in risk prediction and may identify patients who would benefit from mitigation of increased surgical risk related to frailty.

Indexed as

FrailtyLung cancer surgeryLung resectionSurgical complicationsSurgical risk

Identifiers

PMID36340797
PMCPMC9634029
OpenAlexW4297990735

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.