Evidence map›Paper›PMID 30673924›Full record

ArticleEuropean journal of epidemiology2019

The meaning of confounding adjustment in the presence of multiple versions of treatment: an application to organ transplantation.

Kerollos Nashat Wanis, Arin L Madenci, Mary Katherine Dokus, Mark S Orloff, Mark A Levstik, Roberto Hernandez-Alejandro, Miguel A Hernán

Abstract read
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In one paragraph

Article in European journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Observational
  6. Observational
  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

7 authors.

Kerollos Nashat WanisDepartment of Surgery, London Health Sciences Centre, Western University, Rm. C8-114, London, ON, N6A 5A5, Canada. knwanis@g.harvard.edu.ORCID http://orcid.org/0000-0003-1934-3380
Arin L MadenciDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Mary Katherine DokusDivision of Transplantation, University of Rochester, New York, USA.
Mark S OrloffDivision of Transplantation/Hepatobiliary Surgery, Department of Surgery, University of Rochester, New York, USA.
Mark A LevstikDivision of Transplantation, University of Rochester, New York, USA.
Roberto Hernandez-AlejandroDivision of Transplantation/Hepatobiliary Surgery, Department of Surgery, University of Rochester, New York, USA.
Miguel A HernánDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Causal inference for treatments with many versions requires a careful specification of the versions of treatment. Specifically, the existence of multiple relevant versions of treatment has implications for the selection of confounders. To illustrate this, we estimate the effect of organ transplantation using grafts from donors who died due to anoxic drug overdose, on recipient graft survival in the US. We describe how explicitly outlining the target trial (i.e. the hypothetical randomized trial which would answer the causal question of interest) to be emulated by an observational study analysis helps conceptualize treatment versions, guides selection of appropriate adjustment variables, and helps clarify the settings in which causal effects of compound treatments will be of value to decision-makers.

Indexed as

Confounding Factors, EpidemiologicAdultAgedDrug OverdoseFemaleHumansMaleMiddle AgedOrgan TransplantationRandomized Controlled Trials as TopicTissue DonorsTreatment OutcomeUnited StatesCompound treatmentsGeneralizabilityTransplantationTransportabilityTreatment versions

Identifiers

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.