Evidence map›Paper›PMID 28459084›Full record

ArticleEGEMS (Washington, DC)2017

Incidence of Neutropenia in Veterans Receiving Lung Cancer Chemotherapy: A Comparison of Administrative Coding and Electronic Laboratory Data.

Sarah Knerr, Elaine Y Hu, Steven B Zeliadt

Open access · diamondAbstract read
In one paragraph

Article in EGEMS (Washington, DC), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 96% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Sarah KnerrUniversity of Washington, Department of Health Services.
Elaine Y HuVA Puget Sound Health Care System Health Services Research and Development Service.
Steven B ZeliadtUniversity of Washington, Department of Health Services.
University of Washington · US

Funding

Biobehavioral Cancer Prevention and Control Training ProgramR25CA092408 · NCI · UNIVERSITY OF WASHINGTON · PI PATRICK, DONALD LEE · 2001 to 2015
$7.1M
ADVancing Innovative Comparative Effectiveness research-cancer diagnostics ADVICERC2CA148433 · NCI · UNIVERSITY OF WASHINGTON · PI KESSLER, LARRY G, SULLIVAN, SEAN D · 2009 to 2009
$2.0M
NCI NIH HHS R25 CA092408NCI NIH HHS RC2 CA148433
6 · The paper itself

Abstract

introductionThe frequency of neutropenia associated with lung cancer chemotherapy outside of randomized trials is largely unknown because administrative coding underestimates its prevalence. This study compared International Classification of Diseases (ICD) diagnosis codes and electronic laboratory results, alone and in combination, for identifying neutropenia events.

methodsRetrospective cohort study of 718 veterans receiving their first course of chemotherapy for non-small cell lung cancer. Incidence of neutropenia was assessed using electronic laboratory results and ICD-9 codes captured in the Department of Veterans Affairs (VA) electronic medical records (EMR).

resultsA total of 118 of 718 patients (16.4 percent) were identified with an absolute neutrophil count (ANC) less than 1,000 cells/mm

conclusionRelying on ICD codes to identify neutropenia in administrative data likely results in under-reporting. The emerging availability of electronic laboratory results provides an opportunity to more accurately quantify patterns of neutropenia, identify individual risk factors, and assess clinical management practices-including use of colony-stimulating factor prophylaxis-in large community cohorts.

Indexed as

administrative dataelectronic health recordlaboratory dataneutropenianon-small cell lung cancer

Identifiers

PMID28459084
PMCPMC5389434
OpenAlexW2600156201

What OpenQuestion holds

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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.