Evidence map›Paper›PMID 28203447›Full record

ArticleJournal of thoracic disease2017

Computer automated algorithm to evaluate cavitary lesions in adults with pulmonary tuberculosis.

Alvaro Proaño, Ziyue Xu, Philip Caligiuri, Daniel J Mollura, Robert H Gilman, Tuberculosis Working Group in Peru

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of thoracic disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Trial
  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

6 authors.

Alvaro ProañoSchool of Medicine, Faculty of Medicine Alberto Hurtado, Universidad Peruana Cayetano Heredia, Lima, Perú;; Laboratory of Tuberculosis - Infectious Diseases, Laboratories of Research and Development, Faculty of Science, Universidad Peruana Cayetano Heredia, Lima, Perú.
Ziyue XuCenter for Infectious Disease Imaging (CIDI), Radiology and Imaging Sciences, National Institutes of Health (NIH), Bethesda, Maryland, USA.
Philip CaligiuriDepartment of Radiology & Imaging Sciences, University of Utah School of Medicine, Salt Lake City, Utah, USA.
Daniel J MolluraCenter for Infectious Disease Imaging (CIDI), Radiology and Imaging Sciences, National Institutes of Health (NIH), Bethesda, Maryland, USA.
Robert H GilmanLaboratory of Tuberculosis - Infectious Diseases, Laboratories of Research and Development, Faculty of Science, Universidad Peruana Cayetano Heredia, Lima, Perú;; Program in Global Disease Epidemiology and Control, Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
Tuberculosis Working Group in Peru

Funding

Infectious Diseases Training Program in PeruD43TW006581 · FIC · JOHNS HOPKINS UNIVERSITY · PI GILMAN, ROBERT H · 2003 to 2012
$2.4M
Inter-American Training for Innovations in Emerging Infectious DiseasesD43TW009349 · FIC · TULANE UNIVERSITY OF LOUISIANA · PI OBERHELMAN, RICHARD A · 2012 to 2016
$1.6M
Cough - A Rapid Indicator of Response to Therapy in Pulmonary TuberculosisR21AI094143 · NIAID · JOHNS HOPKINS UNIVERSITY · PI GILMAN, ROBERT H · 2012 to 2013
$388k
Computer-Aided Detection for Infectious Disease ImagingZIACL090018 · CLC · CLINICAL CENTER · PI MOLLURA, DANIEL · 2010 to 2018
$0k
FIC NIH HHS D43 TW006581FIC NIH HHS D43 TW009349Medical Research Council MR/K007467/1Medical Research Council MR/P019978/1NIAID NIH HHS R21 AI094143
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID28203447
PMCPMC5303076

What OpenQuestion holds

Textmetadata
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.