Evidence map›Paper›PMID 37781001›Full record

Trial reportThe Yale journal of biology and medicine2023

Comparative Effectiveness Analysis of Lumpectomy and Mastectomy for Elderly Female Breast Cancer Patients: A Deep Learning-based Big Data Analysis.

Jiping Wang, Shunqin Zhang, Huangdi Yi, Shuangge Ma

Open access · diamondAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in The Yale journal of biology and medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
  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

4 authors at 2 institutions in 2 countries.

Jiping WangDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
Shunqin ZhangDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
Huangdi YiServier Pharmaceuticals, Boston, MA, USA.
Shuangge MaDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
Yale University · USBeijing Institute of Big Data Research · CN

Funding

Deep Learning-based Emulation Analysis: Methodological Developments and Case StudiesR21HL161691 · NHLBI · YALE UNIVERSITY · PI MA, SHUANGGE · 2022 to 2023
$251k
Cancer Emulation Analysis with Deep Neural NetworkR03CA276790 · NCI · YALE UNIVERSITY · PI MA, SHUANGGE · 2023 to 2023
$168k
NCI NIH HHS N01 PC035136NCI NIH HHS N01 PC035139NCI NIH HHS N02 PC015105NCI NIH HHS R03 CA276790NHLBI NIH HHS R21 HL161691
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Breast NeoplasmsDeep LearningMastectomyAgedBig DataComparative Effectiveness ResearchFemaleHumansMastectomy, SegmentalMedicareUnited StatesBreast cancerDeep learningElectronic medical recordEmulationLumpectomyMastectomy

Identifiers

PMID37781001
PMCPMC10524818
OpenAlexW4387241253

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.