Evidence map›Paper›PMID 35312237›Full record

ArticleCancer medicine2022

Impact of body mass index on perioperative and oncological outcomes in elderly patients undergoing minimally invasive McKeown esophagectomy for esophageal squamous cell carcinoma.

Chaoyang Tong, Huijie Lu, Hongwei Zhu, Jingxiang Wu

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

4 authors at 1 institution in 1 country.

Chaoyang TongDepartment of Anesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
Huijie LuDepartment of Anesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
Hongwei ZhuDepartment of Anesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
Jingxiang WuDepartment of Anesthesiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0003-3109-9309
Shanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe association between elevated body mass index (BMI) and perioperative and oncological outcomes among elderly patients undergoing minimally invasive McKeown esophagectomy (MIE) remains unclear.

methodsWe performed a single-center retrospective analysis of 526 consecutive patients aged 65 years or older who underwent MIE for esophageal squamous cell carcinoma (SCC) between January 2016 and December 2019. Two groups were stratified by BMI: normal (18.5 ≤ BMI < 24 kg/m

resultsA total of 480 elderly patients were eventually enrolled, with a mean age of 70.2 years (range: 65-87), and 185 patients were eligible for elevated BMI, with a mean BMI of 26.3 ± 1.9 kg/m

conclusionsAmong elderly patients undergoing MIE for esophageal SCC, there was insufficient evidence to demonstrate that elevated BMI could increase perioperative and oncological adverse outcomes.

Indexed as

Esophageal NeoplasmsEsophageal Squamous Cell CarcinomaAgedBlood Loss, SurgicalBody Mass IndexEsophagectomyHumansMinimally Invasive Surgical ProceduresPostoperative ComplicationsRetrospective StudiesTreatment OutcomeelderlyMcKeownminimally invasive esophagectomyoutcomesSCC

Identifiers

PMID35312237
PMCPMC9359875
OpenAlexW4220795067

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.