Evidence map›Paper›PMID 29503731›Full record

ArticleNetwork science (Cambridge University Press)2017

Social influence on 5-year survival in a longitudinal chemotherapy ward co-presence network.

Jeffrey Lienert, Christopher Steven Marcum, John Finney, Felix Reed-Tsochas, Laura Koehly

Abstract read
In one paragraph

Article in Network science (Cambridge University Press), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Narrative medicine in patients with cancer during intravenous antiblastic therapy: a qualitative study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Trial
  3. Trial
  4. Article
  5. Using hospital administrative data to infer patient-patient contact via the consistent co-presence algorithm.Proceedings : ... IEEE International Conference on Big Data. IEEE International Conference on Big Data · 2019
    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

5 authors.

Jeffrey LienertNational Human Genome Research Institute, NIH, Bethesda, MD, USA and CABDyN Complexity Centre, Saïd Business School, University of Oxford, Oxford, UK.
Christopher Steven MarcumNational Human Genome Research Institute, NIH, Bethesda, MD, USA.
John FinneyOxford University Hospitals, National Health Service, Oxford, UK.
Felix Reed-TsochasCABDyN Complexity Centre, Saïid Business School, University of Oxford, Oxford, UK and The Oxford Martin School, University of Oxford, Oxford, UK.
Laura KoehlyNational Human Genome Research Institute, NIH, Bethesda, MD, USA.

Funding

The influence of familial social context on risk dissemination and copingZIAHG200335 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI KOEHLY, LAURA M · 2009 to 2025
$13.6M
The influence of familial social context on risk dissemination and copingZ01HG200335 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI KOEHLY, LAURA M · 2006 to 2008
$1.2M
Intramural NIH HHS Z01 HG200335Intramural NIH HHS ZIA HG200335
6 · The paper itself

Abstract

Chemotherapy is often administered in openly designed hospital wards, where the possibility of patient-patient social influence on health exists. Previous research found that social relationships influence cancer patient's health; however, we have yet to understand social influence among patients receiving chemotherapy in the hospital. We investigate the influence of co-presence in a chemotherapy ward. We use data on 4,691 cancer patients undergoing chemotherapy in Oxfordshire, United Kingdom who average 59.8 years of age, and 44% are Male. We construct a network of patients where edges exist when patients are co-present in the ward, weighted by both patients' time in the ward. Social influence is based on total weighted co-presence with focal patients' immediate neighbors, considering neighbors' 5-year mortality. Generalized estimating equations evaluated the effect of neighbors' 5-year mortality on focal patient's 5-year mortality. Each 1,000-unit increase in weighted co-presence with a patient who dies within 5 years increases a patient's mortality odds by 42% (

Indexed as

administrative datachemotherapycommunal copinggeneralized estimating equationjaccard indexlongitudinal networkmedicinepublic health

Identifiers

PMID29503731
PMCPMC5831372

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.