Evidence map›Paper›PMID 28350899›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2017

Fundamentals and Catalytic Innovation: The Statistical and Data Management Center of the Antibacterial Resistance Leadership Group.

Jacqueline Huvane, Lauren Komarow, Carol Hill, Thuy Tien T Tran, Carol Pereira, Susan L Rosenkranz, Matt Finnemeyer, Michelle Earley, Hongyu Jeanne Jiang, Rui Wang and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Gram-Negative Bacterial Infections: Research Priorities, Accomplishments, and Future Directions of the Antibacterial Resistance Leadership Group.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2017
    Review
  4. The Antibacterial Resistance Leadership Group: Progress Report and Work in Progress.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2017
    Article
  5. Advancing Diagnostics to Address Antibacterial Resistance: The Diagnostics and Devices Committee of the Antibacterial Resistance Leadership Group.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2017
    Review
  6. Gram-Positive Bacterial Infections: Research Priorities, Accomplishments, and Future Directions of the Antibacterial Resistance Leadership Group.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2017
    Review
  7. 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

13 authors at 6 institutions in 1 country.

Jacqueline HuvaneDuke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina.
Lauren KomarowCenter for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health.
Carol HillDuke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina.
Thuy Tien T TranCenter for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health.
Carol PereiraDuke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina.
Susan L RosenkranzFrontier Science & Technology Research Foundation, Boston, Massachusetts.
Matt FinnemeyerCenter for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health.
Michelle EarleyCenter for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health.
Hongyu Jeanne JiangCenter for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health.
Rui WangDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital, and.
Judith LokDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Scott R EvansCenter for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health.
Statistical and Data Management Center of the Antibacterial Resistance Leadership Group (ARLG)
Cancer Research And Biostatistics · USDuke Medical Center · USBrigham and Women's Hospital · USClinical Research Institute · USFrontier Science & Technology Research Foundation · USHarvard University · US

Funding

Antibacterial Resistance Leadership Group (ARLG)UM1AI104681 · NIAID · DUKE UNIVERSITY · PI Vance G. Fowler, Henry F HENRY CHAMBERS · 2013 to 2026
$180.8M
NIAID NIH HHS UM1 AI104681
6 · The paper itself

Abstract

The Statistical and Data Management Center (SDMC) provides the Antibacterial Resistance Leadership Group (ARLG) with statistical and data management expertise to advance the ARLG research agenda. The SDMC is active at all stages of a study, including design; data collection and monitoring; data analyses and archival; and publication of study results. The SDMC enhances the scientific integrity of ARLG studies through the development and implementation of innovative and practical statistical methodologies and by educating research colleagues regarding the application of clinical trial fundamentals. This article summarizes the challenges and roles, as well as the innovative contributions in the design, monitoring, and analyses of clinical trials and diagnostic studies, of the ARLG SDMC.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialData CollectionEducation, MedicalHealth ResourcesHumansInformation ManagementResearchAnti-Bacterial Agentsantibacterial resistancedatainnovation.statistics

Identifiers

PMID28350899
PMCPMC5848245
OpenAlexW2592141579

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.