Evidence map›Paper›PMID 26238850›Full record

ArticleChest2015

Response.

Meeta Prasad Kerlin, Scott D Halpern

Abstract readLetterComment
PubMed Full text at PMC Publisher
In one paragraph

Article in Chest, 2015. 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
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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Meeta Prasad KerlinPulmonary, Allergy, and Critical Care Division, Department of Medicine (Drs Kerlin and Halpern), University of Pennsylvania, Philadelphia, PA; Center for Clinical Epidemiology and Biostatistics (Drs Kerlin and Halpern), University of Pennsylvania, Philadelphia, PA; Department of Medical Ethics and Health Policy (Dr Halpern), University of Pennsylvania, Philadelphia, PA; Perelman School of Medicine, University of Pennsylvania and Leonard Davis Institute of Health Economics (Drs Kerlin and Halpern), University of Pennsylvania, Philadelphia, PA; P30 Roybal Center on Behavioral Economics and Health (Dr Halpern), University of Pennsylvania, Philadelphia, PA; Fostering Improvement in End-of-Life Decision Science (FIELDS) Program (Dr Halpern), University of Pennsylvania, Philadelphia, PA. Electronic address: prasadm@uphs.upenn.edu.
Scott D HalpernPulmonary, Allergy, and Critical Care Division, Department of Medicine (Drs Kerlin and Halpern), University of Pennsylvania, Philadelphia, PA; Center for Clinical Epidemiology and Biostatistics (Drs Kerlin and Halpern), University of Pennsylvania, Philadelphia, PA; Department of Medical Ethics and Health Policy (Dr Halpern), University of Pennsylvania, Philadelphia, PA; Perelman School of Medicine, University of Pennsylvania and Leonard Davis Institute of Health Economics (Drs Kerlin and Halpern), University of Pennsylvania, Philadelphia, PA; P30 Roybal Center on Behavioral Economics and Health (Dr Halpern), University of Pennsylvania, Philadelphia, PA; Fostering Improvement in End-of-Life Decision Science (FIELDS) Program (Dr Halpern), University of Pennsylvania, Philadelphia, PA.

Funding

Measuring and Mitigating Patient Safety Threats Due to Strains on ICU CapacityK08HS018406 · AHRQ · UNIVERSITY OF PENNSYLVANIA · PI HALPERN, SCOTT D · 2009 to 2013
$763k
The role of physician experience in outcomes of patients with acute respiratory fK08HL116771 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI KERLIN, MEETA PRASAD · 2013 to 2017
$741k
AHRQ HHS K08 HS018406NHLBI NIH HHS K08 HL116771
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Intensive Care UnitsPersonnel Staffing and SchedulingCritical IllnessFemaleHumansLife Support CareMaleWorkforce

Identifiers

PMID26238850
PMCPMC4524334

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.