Evidence map›Paper›PMID 17718667›Full record

ArticleThe Milbank quarterly2007

Population health: challenges for science and society.

David Mechanic

Abstract read
In one paragraph

Article in The Milbank quarterly, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 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.

David MechanicInsitute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ 08901-1293, USA. mechanic@rci.rutgers.edu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emphasis on risk factor intervention at the individual level has predominated in efforts to reduce mortality and promote health. Interest in social and other nonmedical interventions, particularly socioeconomic status (SES) influences, has increased in recent years. This article focuses on the interaction of social structure and socioeconomic status with other influences in complex pathways to affect health, and their contribution to health disparities. It examines both social class as an explanation of health differences and competing hypotheses concerning prenatal and early nutrition and cognitive capacity. Although education is associated with income, wealth, occupation, and other SES indicators and may not be the most important SES determinant, it influences a variety of pathways to health outcomes and offers strategic leverage for intervention because of social and political consensus on its value beyond health.

Indexed as

Population SurveillanceSocial ClassSocial ConditionsCognitionEducational StatusHealth Services AccessibilityHumansInfantInfant MortalityInfant, NewbornNutritional StatusUnited States

Identifiers

PMID17718667
PMCPMC2690322

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.