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Peer reviewer training
part I:
What do we know about peer review?
Dr Trish Groves
Deputy editor, BMJ
What do editors want from papers?
• Importance
• Originality
• Relevance to readers
• Usefulness to readers and, ultimately, to
patients
• Truth
• Excitement/ “wow” factor
• Clear and engaging writing
Peer review
• As many processes as journals or grant giving
bodies
• No operational definition--usually implies
“external review”
• Largely unstudied till 1990s
• Benefits through improving what’s published
rather than sorting wheat from chaff
What is peer review?
• Review by peers
• Includes:
internal review (by editorial staff)
external review (by experts in the field)
BMJ papers
• All manuscripts handled by our online editorial
office at http://submit.bmj.com
• The website uses a system called Benchpress
• Reviewers recruited by invitation, through
volunteering, and by authors’ suggestions
• Database also includes all authors
• We monitor reviewers’ workload for BMJ
• We rate reviewers’ reports using a 3 point scale
BMJ peer review process I
• 7000 research papers, 7% accepted
• approximate numbers at each stage:
– 1000 rejected by one editor within 48 hours
– further 3000 rejected with second editor
– within one week of submission 3000 read by senior
editor; further 1500 rejected
– 1500 sent to two reviewers; then 500 more rejected
– approx 1000 screened by clinical epidemiology editor
and more rejected
BMJ peer review process II
• 400-500 to weekly manuscript meeting attended by the
Editor, an external editorial adviser (a specialist or
primary care doctor) and a statistician..
• …and the full team of BMJ research editors, plus the
BMJ clinical epidemiology editor
• 350 research articles accepted, usually after revision
• value added by commissioned editorials and
commentaries
BMJ peer review process III
• always willing to consider first appeals--but
must revise the paper, respond to criticisms,
not just say subject’s important
• perhaps 20% accepted on appeal
• no second appeals; always ends in tears;
plenty of other journals
What we know about
peer review
Research evidence
Peer review processes
• “Stand at the top of the stairs with a pile of
papers and throw them down the stairs. Those
that reach the bottom are published.”
• “Sort the papers into two piles: those to be
published and those to be rejected. Then swap
them over.”
Some problems
• Means different things at different journals
• Slow
• Expensive
• Subjective
• Biased
• Open to abuse
• Poor at detecting errors
• Almost useless at detecting fraud
Is peer review reliable?
(How often do two reviewers agree?)
NEJM (Ingelfinger F 1974)
• Rates of agreement only “moderately better than chance”
(Kappa = 0.26)
• Agreement greater for rejection than acceptance
Grant review
• Cole et al, 1981 – real vs sham panel, agreed on 75% of
decisions
• Hodgson C, 1997 – two real panels reviewing the same
grants, 73% agreement
Are two reviewers enough?
• Fletcher and Fletcher 1999 - need at least six reviewers,
all favouring rejection or acceptance, to yield a stats
significant conclusion (p<0.05)
Should we mind if reviewers don’t
agree?
• Very high reliability might mean that all
reviewers think the same
• Reviewers may be chosen for differing positions
or areas of expertise
• Peer review decisions are like diagnostic tests:
false positives and false negatives are inevitable
(Kassirer and Campion, 1994)
• Larger journals ask reviewers to advise on
publication, not to decide
Bias
Author-related
• Prestige (author/institution)
• Gender
• Where they live and work
Paper-related
• Positive results
• English language
Prestigious institution bias
Peters and Ceci, 1982
Resubmitted 12 altered articles to psychology journals that
had already published them
Changed:
• title/abstract/introduction - only slightly
• authors’ names
• name of institution, from prestigious to unknown
fictitious name (eg. “Tri-Valley Center for Human
Potential”)
Peters and Ceci - results
• Three articles recognised as resubmissions
• One accepted
• Eight rejected (all because of poor study
design, inadequate statistical analysis, or poor
quality: none on grounds of lack of originality)
How easy is it to hide authors’ identity?
• Not easy
• In RCTs of blinded peer review, reviewers
correctly identified author or institution in 24-
50% of cases
Reviewers identified
(open review) – results of RCTs
Asking reviewers to sign their reports
in RCTs made no difference to the quality
of reviews or recommendations made
• Godlee et al, 1998
• van Rooyen et al, 1998
• van Rooyen et al ,1999
Open review on the web
Various experiments and evaluations are
underway…
What makes a good reviewer? – results of
RCTs
• Aged under 40
• Good institution
• Methodological training (statistics &
epidemiology)
What might improve the quality of reviews?
• Reward/credit/acknowledgement?
• Careful selection?
• Training?
• Greater accountability (open review on web)?
• Interaction between author and reviewer (real
time open review)?

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presentation-1what-do-we-know-about-peer-review.ppt

  • 1. Peer reviewer training part I: What do we know about peer review? Dr Trish Groves Deputy editor, BMJ
  • 2. What do editors want from papers? • Importance • Originality • Relevance to readers • Usefulness to readers and, ultimately, to patients • Truth • Excitement/ “wow” factor • Clear and engaging writing
  • 3. Peer review • As many processes as journals or grant giving bodies • No operational definition--usually implies “external review” • Largely unstudied till 1990s • Benefits through improving what’s published rather than sorting wheat from chaff
  • 4. What is peer review? • Review by peers • Includes: internal review (by editorial staff) external review (by experts in the field)
  • 5. BMJ papers • All manuscripts handled by our online editorial office at http://submit.bmj.com • The website uses a system called Benchpress • Reviewers recruited by invitation, through volunteering, and by authors’ suggestions • Database also includes all authors • We monitor reviewers’ workload for BMJ • We rate reviewers’ reports using a 3 point scale
  • 6. BMJ peer review process I • 7000 research papers, 7% accepted • approximate numbers at each stage: – 1000 rejected by one editor within 48 hours – further 3000 rejected with second editor – within one week of submission 3000 read by senior editor; further 1500 rejected – 1500 sent to two reviewers; then 500 more rejected – approx 1000 screened by clinical epidemiology editor and more rejected
  • 7. BMJ peer review process II • 400-500 to weekly manuscript meeting attended by the Editor, an external editorial adviser (a specialist or primary care doctor) and a statistician.. • …and the full team of BMJ research editors, plus the BMJ clinical epidemiology editor • 350 research articles accepted, usually after revision • value added by commissioned editorials and commentaries
  • 8. BMJ peer review process III • always willing to consider first appeals--but must revise the paper, respond to criticisms, not just say subject’s important • perhaps 20% accepted on appeal • no second appeals; always ends in tears; plenty of other journals
  • 9. What we know about peer review Research evidence
  • 10. Peer review processes • “Stand at the top of the stairs with a pile of papers and throw them down the stairs. Those that reach the bottom are published.” • “Sort the papers into two piles: those to be published and those to be rejected. Then swap them over.”
  • 11. Some problems • Means different things at different journals • Slow • Expensive • Subjective • Biased • Open to abuse • Poor at detecting errors • Almost useless at detecting fraud
  • 12. Is peer review reliable? (How often do two reviewers agree?) NEJM (Ingelfinger F 1974) • Rates of agreement only “moderately better than chance” (Kappa = 0.26) • Agreement greater for rejection than acceptance Grant review • Cole et al, 1981 – real vs sham panel, agreed on 75% of decisions • Hodgson C, 1997 – two real panels reviewing the same grants, 73% agreement Are two reviewers enough? • Fletcher and Fletcher 1999 - need at least six reviewers, all favouring rejection or acceptance, to yield a stats significant conclusion (p<0.05)
  • 13. Should we mind if reviewers don’t agree? • Very high reliability might mean that all reviewers think the same • Reviewers may be chosen for differing positions or areas of expertise • Peer review decisions are like diagnostic tests: false positives and false negatives are inevitable (Kassirer and Campion, 1994) • Larger journals ask reviewers to advise on publication, not to decide
  • 14. Bias Author-related • Prestige (author/institution) • Gender • Where they live and work Paper-related • Positive results • English language
  • 15. Prestigious institution bias Peters and Ceci, 1982 Resubmitted 12 altered articles to psychology journals that had already published them Changed: • title/abstract/introduction - only slightly • authors’ names • name of institution, from prestigious to unknown fictitious name (eg. “Tri-Valley Center for Human Potential”)
  • 16. Peters and Ceci - results • Three articles recognised as resubmissions • One accepted • Eight rejected (all because of poor study design, inadequate statistical analysis, or poor quality: none on grounds of lack of originality)
  • 17. How easy is it to hide authors’ identity? • Not easy • In RCTs of blinded peer review, reviewers correctly identified author or institution in 24- 50% of cases
  • 18. Reviewers identified (open review) – results of RCTs Asking reviewers to sign their reports in RCTs made no difference to the quality of reviews or recommendations made • Godlee et al, 1998 • van Rooyen et al, 1998 • van Rooyen et al ,1999
  • 19. Open review on the web Various experiments and evaluations are underway…
  • 20. What makes a good reviewer? – results of RCTs • Aged under 40 • Good institution • Methodological training (statistics & epidemiology)
  • 21. What might improve the quality of reviews? • Reward/credit/acknowledgement? • Careful selection? • Training? • Greater accountability (open review on web)? • Interaction between author and reviewer (real time open review)?