Evidence map›Paper›PMID 35524781›Full record

ArticleJournal of cancer research and clinical oncology2022

Detection and treatment of lung adenocarcinoma at pre-/minimally invasive stage: is it lead-time bias?

Zelin Ma, Zezhou Wang, Yuan Li, Yang Zhang, Haiquan Chen

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 5 citations in OpenAlex.

  1. Over- and underscreening for lung cancer.Translational lung cancer research · 2026
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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

5 authors at 1 institution in 1 country.

Zelin Ma *Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, 270 Dong-An Road, Shanghai, 200032, China.
Zezhou Wang *Institution of Thoracic Oncology, Fudan University, Shanghai, 200032, China.
Yuan LiInstitution of Thoracic Oncology, Fudan University, Shanghai, 200032, China.
Yang ZhangDepartment of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, 270 Dong-An Road, Shanghai, 200032, China. fduzhangyang1987@hotmail.com.
Haiquan ChenDepartment of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, 270 Dong-An Road, Shanghai, 200032, China. hqchen1@yahoo.com.ORCID http://orcid.org/0000-0002-1305-971X
Shanghai Medical College of Fudan University · CN

Funding

National Natural Science Foundation of China 81930073Science and Technology Commission of Fengxian District, Shanghai Municipality 2017SHZDZX01Shanghai Municipal Health Commission Key Discipline Project 2017ZZ01019Shanghai Municipal Health Commission Key Discipline Project 2017ZZ02025Shanghai Shenkang Hospital Development Center City Hospital Emerging Cutting-edge Technology Joint Research Project SHDC12017102
6 · The paper itself

Abstract

objectivesThis study investigates whether lead-time bias contributes to the excellent survival of AIS and MIA.

methodsWe enrolled patients with resected adenocarcinoma from 2008 to 2012. Age, sex, smoke history, surgical approach, radiological features, invasive stage and postoperative follow-up data were documented. 1:1 PSM was performed to balance the influence of sex and smoking status on survival. After matching, the average age of the two groups was compared to calculate the lead time of diagnosis. The gain in life years for adenocarcinoma diagnosed at pre-/minimally invasive stage was estimated by subtracting the "lead time" and "median survival year of IAC" from "the life expectancy of AIS/MIA patients" referring to the Centre for Health and Information.

resultsThere were 124 AIS/MIA patients and 1148 IAC patients. The frequency of female and never-smoking patients in AIS/MIA group was much higher than that in IAC group. PSM analysis identified 124 patient pairs. No cancer-related death and recurrence were observed among AIS/MIA patients 5 years after surgery. For IAC patients, the 5-year disease-specific survival rate was 73.5% and the median survival is 13.5 years. The average age of AIS/MIA group and IAC group are 53.6 years and 58.2 years, respectively. The lead time between diagnosis of AIS/MIA and IAC is 4.6 years. Referring to the Centre for Health and Information, the life expectancy of patients with AIS/MIA diagnosed at 53.6 years old is 28.9 years. With adjustment for the lead time, the gain in life years for adenocarcinoma diagnosed at pre-/minimally invasive stage is 10.8 years.

conclusionsWith adjustment for the lead time between diagnosis of AIS/MIA and IAC, resecting lung adenocarcinoma at pre-/minimally invasive stage can improve life expectancy. The excellent survival of AIS/MIA is not lead-time bias.

Indexed as

AdenocarcinomaAdenocarcinoma of LungLung NeoplasmsFemaleHumansMiddle AgedNeoplasm InvasivenessRetrospective StudiesSmokingSurvival RateAdenocarcinoma in situLead-time biasLung cancer screeningMinimally invasive adenocarcinoma

Identifiers

PMID35524781
PMCPMC11800821
OpenAlexW4229066161

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Registered trials

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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.