Evidence map›Paper›PMID 27575448›Full record

ReviewAnesthesiology2016

Preclinical Pain Research: Can We Do Better?

J David Clark

Abstract readReview
In one paragraph

Review in Anesthesiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

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

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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

1 author.

J David ClarkFrom the Department of Anesthesiology, Veterans Affairs Palo Alto Health Care System, Palo Alto, California; and Department of Anesthesiology, Pain and Perioperative Medicine, Stanford University School of Medicine, Stanford, California.

Funding

Inflammasome Activation in Complex Regional Pain SyndromeR01NS072143 · NINDS · PALO ALTO VETERANS INSTIT FOR RESEARCH · PI CLARK, DAVID J., KINGERY, WADE S · 2011 to 2015
$1.6M
Genetics and Gene X Environment Interactions during Opioid AdministrationI01BX000881 · VA · VETERANS ADMIN PALO ALTO HEALTH CARE SYS · PI CLARK, DAVID J. · 2011 to 2019
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Autonomic Regulation of the Immunological Response to Limb InjuryI01RX001475 · VA · VETERANS ADMIN PALO ALTO HEALTH CARE SYS · PI CLARK, DAVID J. · 2015 to 2025
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Traumatic Brain Injury and Endogenous Pain ModulationI01RX001776 · VA · VETERANS ADMIN PALO ALTO HEALTH CARE SYS · PI CLARK, DAVID J. · 2016 to 2025
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BLRD VA I01 BX000881NINDS NIH HHS R01 NS072143RRD VA I01 RX001475RRD VA I01 RX001776
6 · The paper itself

Abstract

Regrettably, the list of unique analgesic tools has expanded very slowly during the past few decades. Many very promising drugs have failed once tested in clinical populations, and the associated costs of these translational failures have been extremely high. Part of this problem can be traced to the ways we select and use preclinical tools and perhaps to the way we report our findings. We are beginning to reevaluate our selection of animal models and the methods we use to measure pain-related responses in these animals. In addition, many journals now require a clear statement of the experimental hypothesis, the details of the experimental methods, a description of the statistical approach to analyzing the data, and the disclosure of conflicts of interest. These new practices pose challenges to laboratory-based research groups. However, a more rigorous approach to preclinical investigations may be necessary for the successful development of new analgesics.

Indexed as

Research DesignAnalgesicsAnimalsDrug Evaluation, PreclinicalHumansModels, AnimalPainPain MeasurementAnalgesics

Identifiers

PMID27575448
PMCPMC5176336

What OpenQuestion holds

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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.